Plot Twist: 30 years of weather and a laptop Gemma tell you what to plant this week

Atharva Malvade — Sun, 11 Oct 2026 15:15:16 +0000

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

What I Built

Every seed packet says the same thing: "Sow after the last frost." It's useful advice if you know when your last frost is, but most people don't. Search for it and you get a single date for a whole region, as if frost were scheduled.

Plot Twist is a garden planner that runs on your laptop and answers one question: what should I plant outside this week?

You type your town. Plot Twist then:

Pulls 30 years (1996–2025) of daily minimum temperatures for that exact spot and works out your frost dates as odds, not a single date: the last spring frost in half of years, and the date after which 9 years in 10 stay frost-free. It does the same for the first autumn frost.
Checks this week's forecast and today's soil temperature. A tomato planted into 12 °C soil just sits there sulking, so if the soil is too cold, Plot Twist tells you to wait.
Matches about 30 common crops against those windows: what to sow indoors, sow outside, transplant, or plant for an autumn harvest right now, and which windows close this week.
Hands those facts to Gemma 3, running locally through Ollama, which writes a short garden card: a two-line weather summary, a 4–6 item checklist and one "go look" task for your hands. Then you print it, close the laptop and go outside.

The screen part should take about two minutes. The rest happens in the dirt.

It also works for gardeners who will never see a frost. In Pune or Chennai, "last frost date" means nothing, so Plot Twist notices when a place frosts in fewer than 1 year in 5 and switches to temperature and rainfall seasons, ranking crops by how well the next few months suit them. The southern hemisphere is handled too: in Canberra, October is spring, and the frost calendar runs July to June.

Who it's for: balcony growers, allotment people, and anyone who bought seeds in a burst of optimism and then wasn't sure when to plant them.

Demo

Clone it and run it locally (it's built to run on your own machine, so there's no hosted version):

ollama pull gemma3:4b
git clone https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git
cd TouchGrass-OpenSourceAI/plottwist
python server.py   # open http://127.0.0.1:8000

Code

AtharvaMalvade2 / TouchGrass-OpenSourceAI

🌱 Plot Twist

What to plant this week, worked out from 30 years of your local weather, with a garden card written by an open-weight model running on your own laptop.

Built for the Hacktoberfest Open-Source AI Challenge, Week 1: Touch Grass.

Frost dates as odds, not one date. 30 years (1996–2025) of daily minimum temperatures for your exact spot give you the last spring frost in half of years and in 9 out of 10 years, and the same for the first fall frost.
This week's soil and frost. The 7-day forecast and today's soil temperature at 6 cm. If the soil is too cold for a crop, it tells you to wait.
Works where it never frosts. In places like Pune or Melbourne it switches to temperature and rainfall seasons and ranks crops by how well the next months suit them.
Southern hemisphere aware. Seasons flip automatically.
…

View on GitHub

Python standard library only. No pip install, no API keys, no accounts.

How I Built It

your town ─► Open-Meteo geocoding
           ├► Open-Meteo archive: 30 yrs of daily min/max/rain ─► climate.py  (cached to disk)
           │      frost dates as percentiles + monthly normals
           └► Open-Meteo forecast: 7 days + soil temperature at 6 cm
                                 │
                            planner.py   deterministic crop windows,
                                 │       soil checks, frost-free fallback
                                 ▼
                   facts (JSON) ─► coach.py ─► Ollama /api/chat ─► gemma3:4b on my laptop
                                                    └► streamed garden card

The open-weight model: Gemma 3 4B, served by Ollama on an ordinary laptop: 16 GB RAM, an Intel CPU, and a 2 GB MX330 that barely helps.

The design decision that made a 4B model good enough: the model never decides a date. My first instinct was to ask the LLM "what should I plant in Leeds this week?" Small models will answer that question with complete confidence and a made-up date. So the work is split:

climate.py computes frost dates from data. For each year it finds the last day ≤ 0 °C before midsummer and the first one after, then takes percentiles across 30 years. Years with no frost count as "frost ended on day 0", which keeps mild places honest. Southern-hemisphere dates are shifted by half a year so the same code handles both.
planner.py is plain rules: tomatoes transplant from the 9-in-10-years-safe date up to 5 weeks after it, but never so late they can't mature before an early autumn frost. Peas go in 6 to 2 weeks before the median last frost. Autumn crops are counted back from the first frost using days to maturity.
Gemma gets only the facts JSON, with a system prompt that says use only these facts, never invent dates, and turns them into something a person wants to read with muddy hands.

That split means the model does what small models are good at (summarising, prioritising, writing plainly), and the arithmetic stays in code you can check.

Bugs worth sharing:

Garlic in spring. In frost-free mode I matched crops on temperature alone, and Melbourne's spring has the same temperatures as its autumn, so it told people to plant garlic in October. Now autumn-only crops also need the temperature to be falling.
Rate limits. Thirty years of daily data counts as a heavy request on Open-Meteo's free API, and I hit HTTP 429 while testing six cities in a row. The fix was a back-off retry plus caching every location's climate to disk, which also turned out to be what makes the app work offline.
An honest limit. The weather comes from a ~10 km reanalysis grid, which smooths out cold pockets. Canberra's computed median last frost (Sep 13) is earlier than local gardeners would tell you. That's exactly why Plot Twist leads with the cautious "9 in 10 years" date and not the median.

Why Does Open Innovation Matter?

It runs on the laptop I already own, for free, indefinitely. A garden planner isn't something you use once; you open it every week from March to October. With a hosted API, each weekly card is a small bill and an API key to look after. With Gemma on Ollama, the marginal cost is a bit of laptop battery.

It keeps working with no signal. After a place's first lookup, its 30-year climate is cached. At an allotment with one bar of reception, Plot Twist still gives you the frost calendar, the crop list and a freshly written Gemma card. Only the 7-day forecast needs the internet.

My garden stays mine. Where I live, what I grow and when I'm out are small facts, but they're mine. Nothing about your garden is sent to a model provider.

I can swap the brain. PLOTTWIST_MODEL=llama3.2:3b python server.py, and any Ollama model writes the card. Because the facts are computed in code, swapping models changes the voice, not the advice. Next I'd like to fine-tune a small model on regional gardening extension guides, so the card sounds like a local gardener and not a generic one. That's only possible because the weights are open.

Where open beat closed for me: a bigger closed model would write a nicer paragraph. But once dates and crops come from code, writing quality stops being the bottleneck, and a 4B model on a CPU is plenty. Being free, offline and private ended up mattering more than raw capability.

My Agent Session

I built Plot Twist in one sitting with Claude Code, from an empty folder to a working app, including the six-city test runs, the garlic-in-spring bug and the rate-limit fix. Here's the full session:

Building Plot Twist: a frost-aware garden planner with a local Gemma

You

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Hacktoberfest Open-Source AI Challenge: Week 1
Hacktoberfest Open-Source AI Challenge: Week 1
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Challenge 2 of 5 in our Hacktoberfest DEV Challenges. One prompt, a new theme every week.

Challenge Status:
Live
This year's Hacktoberfest is not about open source pull requests. There's no PR count to hit and no repos to hunt for. Instead, you build a brand-new project with open-source AI at its core, and write about it on DEV. Here's everything you need to know about Hacktoberfest 2026.

Week 1 of our five Hacktoberfest DEV Challenges starts today! Running through October 11, the Hacktoberfest Open-Source AI Challenge: Week 1 gives you a full week to build.

Missed the Hacktoberfest Weekend Challenge? No problem. Every challenge is a fresh start, so you're competing on the same footing as everyone else.

This week, we'll select one overall winner and a winner in each of our 16 partner categories. See all five challenges and every partner category on the HF26 DEV Challenge Hub.

Free partner credits

Several partners are giving participants credits and promo codes, including Tinker, Render, Backboard, and ElevenLabs. Claim yours at hacktoberfest.com/my/promos.

Tinker by Thinking Machines
Render
Backboard
Claim your credits →
Visit hacktoberfest.com
Key Dates
Contest start: October 05, 2026
Submissions due: October 11, 2026
Winners announced: Week of October 12
Badge Rewards
Hacktoberfest Challenge Completion Badge
Hacktoberfest Challenge Completion Badge
Hacktoberfest Challenge Winner Badge
Hacktoberfest Challenge Winner Badge
Find Out More
Ask questions and share your ideas on the Hacktoberfest Open-Source AI Challenge: Week 1 Launch Post.

View Launch Post
Challenge Prompt
Touch Grass
Build something with open-source AI at its core.

That can mean running an open-weight model, building on an open-source agent harness or framework, running inference locally, or all three. Whatever you pick, the open pieces should be what makes your project work.

In your post, tell us why open innovation matters for what you built. Does it run on a laptop with no internet? Keep someone's data off a server they don't control? Let you fine-tune, swap models, or change how your agent behaves? Cost nothing to run? Tell us where your open-based approach worked better than a closed one.

This Week's Theme: Touch Grass
Build something with open-weight models or open-source AI that gets people off the screen and into the world.

Hiking, gardening, birding, run clubs, fall foliage: if it gets someone outside, it counts. The best builds here should make the screen the shortest part of the experience. A few ideas to get you going:

A bird call identifier that works on the trail with no signal

A garden planner that tells you what to plant this week based on your local frost dates

A run club route builder that finds the best fall foliage near you

Bonus points if you take it outside, use it, and tell us how it went.

Submission Template
Show your work. We'd love to see how you built it. Save your agent session with DevRelay and embed it in your post, or link to it. It's optional, but it helps the judges understand your process.

Judging Criteria
Writing Quality (weighted most heavily)
Relevance to the Prompt and Theme
Creativity
Technical Execution
Use of Partner Technology (optional)
Prizes
$250 USD
+ DEV++ Membership
+ Exclusive winner badge
Prize Categories
Featured categories
$200 for each winner

Render
Best Use of Render
Use Render as your project's AI runtime, to host an agent's front end, or to run Hermes or OpenClaw.

Prizes
$200 USD
+ Exclusive winner badge
Prior Labs
Best Use of TabPFN
Use TabPFN, Prior Labs' tabular foundation model, to forecast, predict, classify, or spot anomalies from historical data like a CSV. Use it inside an agent tool (with or without the MCP server) or on its own.

Prizes
$200 USD
+ Exclusive winner badge
Thinking Machines
Best Use of Tinker
Use Thinking Machines' Tinker to fine-tune a model for a specific task, and show a clear improvement in performance, latency, or cost over a baseline.

Prizes
$200 USD
+ Exclusive winner badge
QualcommArduino
Best Use of Arduino
Build with an Arduino UNO Q: run a model on the board, build a physical agent that senses and acts, or optimize a model for it with Qualcomm AI Hub. Open to anyone building with an UNO Q, whether you got one at an in-person Fest or have your own.

Prizes
$200 USD
+ Exclusive winner badge
DigitalOcean
Best Use of DigitalOcean
Build or deploy your project on DigitalOcean: host your app or agent, run an open-weight model on a GPU Droplet (1-Click Models make this quick), or build an agent on the Gradient AI Platform.

Prizes
$200 USD
+ Exclusive winner badge
Gemma
Best Use of Gemma
Use Gemma, Google's open-weight model, in building your project: run it locally, fine-tune it, or serve it through Google Cloud or another provider.

Prizes
$200 USD
+ Exclusive winner badge
Partner categories
$100 for each winner

Backboard
Best Use of Backboard
Build with R-CLI, Backboard's open-source terminal coding agent, compare open-weight models through a single Backboard API key, or give an open-source project's assistant memory and RAG.

Prizes
$100 USD
+ Exclusive winner badge
ElevenLabs
Best Use of ElevenLabs
Give an open-source agent a voice, transcribe audio for a local model, or generate narration for your demo.

Prizes
$100 USD
+ Exclusive winner badge
Entire
Best Use of Entire
Share the agent sessions behind your project in the write-up, or search past agent work to explain why code exists.

Prizes
$100 USD
+ Exclusive winner badge
GitHub
Best Use of GitHub Cop
… [4241 more characters trimmed]

Agent

▸ Bash ls -la "./TouchGrass" 2>&1 | head -50

Input

$ ls -la "./TouchGrass" 2>&1 | head -50

Output

total 0
drwxr-xr-x 1 Admin 197121 0 Oct 11 17:14 .
drwxr-xr-x 1 Admin 197121 0 Oct 11 17:14 ..

▸ AskUserQuestion {"questions": [{"question": "Which Touch Grass project should we build?", "he...

Input

{
  "questions": [
    {
      "question": "Which Touch Grass project should we build?",
      "header": "Idea",
      "multiSelect": false,
      "options": [
        {
          "label": "Offline Field Guide (Recommended)",
          "description": "Snap a photo of a plant, bird, bug or leaf and an open vision model (e.g. Gemma 3 via Ollama) identifies it, gives safety notes (toxic, edible look-alikes) and logs the sighting. Works with no signal. Easy to take outside and write up. Fits the Gemma category."
        },
        {
          "label": "Side Quest Generator",
          "description": "A local LLM turns your location, weather and available time into a short real-world outdoor 'quest' (find 3 kinds of leaf, sketch a cloud...) and checks your proof photo with a vision model. Gamified and screen-light."
        },
        {
          "label": "Garden Planner",
          "description": "Enter a ZIP or postcode; local frost dates plus an open model tell you what to plant or harvest this week. This is one of the brief's own example ideas, so expect more competition."
        },
        {
          "label": "Foliage Run Route Builder",
          "description": "Uses OSM data and an open model to plan loop routes through parks and tree cover near you. Higher payoff, but the routing makes it the riskiest to finish today."
        }
      ]
    },
    {
      "question": "How should the model run?",
      "header": "Runtime",
      "multiSelect": false,
      "options": [
        {
          "label": "Ollama locally (Recommended)",
          "description": "Fully offline and private, costs nothing. Best fit for the 'why open matters' part of the post. Needs Ollama installed and a model pulled (about 3–8 GB)."
        },
        {
          "label": "Local + Render deploy",
          "description": "Runs locally with Ollama, plus a hosted demo on Render (you can claim partner credits) to compete in the Render category. Takes more time."
        },
        {
          "label": "Hosted open model",
          "description": "Gemma or Llama served through a provider API. Quicker to set up, but weaker on the offline and privacy story."
        }
      ]
    }
  ]
}

Output

The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.

Note: The user's next message may contain a correction or preference. Pay close attention — if they explain what went wrong or how they'd prefer you to work, consider saving that to memory for future sessions.

You

[Request interrupted by user for tool use]

You

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

What I Built

Demo

Code

How I Built It

Why Does Open Innovation Matter?

My Agent Session

Prize Categories

see they have said about how build use agent session DevRelay so is that also possible?

Agent

▸ Skill {"skill": "devrelay-sessions"}

Input

{
  "skill": "devrelay-sessions"
}

Output

Launching skill: devrelay-sessions

Yes, that works here. DevRelay is connected in this session, so I can save our session to your DEV profile and embed it in the post.

We build the project in this chat. The prompts, my reasoning, the code edits and the tool calls all become the transcript.
When it's done, I save the session to DEV with DevRelay. It's saved as a Claude Code session and starts out private, so you can check it before anyone else sees it. I remove API keys, tokens and private file paths before uploading.
The post embeds it under "My Agent Session" with a tag like {% agent_session <id> %}. It can show the whole session or just a slice, for example only the part where we fixed a tricky bug.
It can count twice. The Entire prize category ("share the agent sessions behind your project") rewards exactly this, so it's a free extra category to enter.

I can also draft the DEV post from your template, but I'll only publish when you say so.

The session will only be worth showing if the project gets built in this chat, and submissions close tonight at 11:59 PM PDT. What would you like to build? Pick one of my earlier ideas or bring your own:
- Offline Field Guide: photo in, plant/bird/bug identified by a local open model
- Side Quest Generator: short real-world outdoor quests
- Garden Planner: what to plant this week, based on your frost dates
- Foliage route builder: running routes through fall colours near you

Also tell me whether you have Ollama installed, or whether you'd rather use a hosted open model.

You

ok. I want to download ollama .
A garden planner that tells you what to plant this week based on your local frost dates . also this one to go with

Agent

I'll check your machine first so I pick the right model size and stack.

▸ PowerShell $cs = Get-CimInstance Win32_ComputerSystem; "RAM GB: " + [math]::Round($cs.To...

Input

$cs = Get-CimInstance Win32_ComputerSystem; "RAM GB: " + [math]::Round($cs.TotalPhysicalMemory/1GB,1); Get-CimInstance Win32_VideoController | Select-Object Name, AdapterRAM | Format-Table -AutoSize | Out-String; "--- tools"; foreach ($t in 'ollama','python','node','npm','git','winget','gh') { $c = Get-Command $t -ErrorAction SilentlyContinue; if ($c) { "$t : $($c.Source)" } else { "$t : MISSING" } }; python --version; node --version; Get-PSDrive D | Select-Object Used, Free | Format-Table | Out-String

Output

RAM GB: 15.7

Name                         AdapterRAM
----                         ----------
Intel(R) Iris(R) Xe Graphics  134217728
NVIDIA GeForce MX330         2147483648



--- tools
ollama : MISSING
python : ~\AppData\Local\Programs\Python\Python314\python.exe
node : MISSING
npm : MISSING
git : C:\Program Files\Git\cmd\git.exe
winget : ~\AppData\Local\Microsoft\WindowsApps\winget.exe
gh : MISSING
Python 3.14.4
node : The term 'node' is not recognized as the name of a cmdlet, function, script file, or operable program. Check 
the spelling of the name, or if a path was included, verify that the path is correct and try again.
At line:1 char:725
+ ... .Source)" } else { "$t : MISSING" } }; python --version; node --versi ...
+                                                              ~~~~
    + CategoryInfo          : ObjectNotFound: (node:String) [], CommandNotFoundException
    + FullyQualifiedErrorId : CommandNotFoundException
 

        Used         Free
        ----         ----
322993356800 677075513344

▸ ToolSearch select:mcp__devrelay-gateway__search_dev_to_semantic

Input

select:mcp__devrelay-gateway__search_dev_to_semantic

Output

▸ PowerShell winget install --id Ollama.Ollama -e --accept-source-agreements --accept-pack...

Input

winget install --id Ollama.Ollama -e --accept-source-agreements --accept-package-agreements --silent

Output

Command running in background with ID: blkyyzflc. Output is being written to: <temp> You will be notified when it completes. To check interim output, use Read on that file path.

▸ mcp__devrelay-gateway__search_dev_to_semantic local LLM Ollama Gemma Python app without dependencies

Input

local LLM Ollama Gemma Python app without dependencies

Output

{
  "Ok": [
    {
      "id": 3058794,
      "title": "Install and Run Your Own LLM Locally with Ollama + Gemma in Minutes",
      "description": "We rely on external LLM tools a lot. How about we get it running locally as well?  This article gives...",
      "tags": [
        "ai",
        "llm"
      ],
      "path": "/rijultp/install-and-run-your-own-llm-locally-with-ollama-gemma-in-minutes-1m99",
      "url": "https://dev.to/rijultp/install-and-run-your-own-llm-locally-with-ollama-gemma-in-minutes-1m99",
      "score": 1.0
    },
    {
      "id": 3491819,
      "title": "The Developer's Guide to Running LLMs Locally: Ollama, Gemma 4, and Why Your Side Projects Don't Need an API Key",
      "description": "Every tutorial about building with LLMs starts the same way: \"First, get your OpenAI API key.\" But...",
      "tags": [
        "ai",
        "llm",
        "sideprojects",
        "tutorial"
      ],
      "path": "/kennedyraju55/the-developers-guide-to-running-llms-locally-ollama-gemma-4-and-why-your-side-projects-dont-54oe",
      "url": "https://dev.to/kennedyraju55/the-developers-guide-to-running-llms-locally-ollama-gemma-4-and-why-your-side-projects-dont-54oe",
      "score": 1.0
    },
    {
      "id": 4615387,
      "title": "Run LLMs Locally: Ollama Setup & Hardware Requirements",
      "description": "If you want to run LLMs locally, I recommend using Ollama to manage model weights and serve a local...",
      "tags": [
        "llm",
        "ollama",
        "machinelearning",
        "softwareengineering"
      ],
      "path": "/doogal/run-llms-locally-ollama-setup-hardware-requirements-4deh",
      "url": "https://dev.to/doogal/run-llms-locally-ollama-setup-hardware-requirements-4deh",
      "score": 1.0
    },
    {
      "id": 3458154,
      "title": "Running Gemma 4 Locally with Ollama and OpenCode",
      "description": "First steps:   The usual first step with getting Gemma 4 running on Ollama is to pull the...",
      "tags": [
        "ai",
        "ollama",
        "opencode",
        "gemma4"
      ],
      "path": "/grovertek/running-gemma-4-locally-with-ollama-and-opencode-2h6",
      "url": "https://dev.to/grovertek/running-gemma-4-locally-with-ollama-and-opencode-2h6",
      "score": 1.0
    },
    {
      "id": 3507305,
      "title": "How to Run LLMs Locally with Ollama — A Developer's Guide",
      "description": "You don't need an API key or a cloud subscription to use LLMs. Ollama lets you run models locally on...",
      "tags": [
        "ai",
        "tutorial",
        "beginners",
        "typescript"
      ],
      "path": "/pavelespitia/how-to-run-llms-locally-with-ollama-a-developers-guide-25nh",
      "url": "https://dev.to/pavelespitia/how-to-run-llms-locally-with-ollama-a-developers-guide-25nh",
      "score": 1.0
    }
  ]
}

▸ mcp__devrelay-gateway__search_dev_to_semantic calculate frost dates from Open-Meteo historical weather API garden

Input

calculate frost dates from Open-Meteo historical weather API garden

Output

{
  "Ok": [
    {
      "id": 4815076,
      "title": "Frost Window: 30 years of weather and a laptop-sized Gemma tell you what to do outside this week",
      "description": "This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass          ...",
      "tags": [
        "devchallenge",
        "hf26challenge",
        "opensource",
        "ai"
      ],
      "path": "/bokmanlab/frost-window-30-years-of-weather-and-a-laptop-sized-gemma-tell-you-what-to-do-outside-this-week-8fl",
      "url": "https://dev.to/bokmanlab/frost-window-30-years-of-weather-and-a-laptop-sized-gemma-tell-you-what-to-do-outside-this-week-8fl",
      "score": 1.0
    },
    {
      "id": 4751360,
      "title": "Mecropolis: Tracking Crop Stages from Past Weather",
      "description": "This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange           What I...",
      "tags": [
        "devchallenge",
        "sanitychallenge",
        "sanity",
        "ai"
      ],
      "path": "/moersebene/mecropolis-tracking-crop-stages-from-past-weather-1hbm",
      "url": "https://dev.to/moersebene/mecropolis-tracking-crop-stages-from-past-weather-1hbm",
      "score": 1.0
    },
    {
      "id": 4802291,
      "title": "Food festival dates as open data: a free API, an MCP server and SQL",
      "description": "The next dates of 1,376 food festivals in 55 countries, free over REST, MCP, SQL on DoltHub and CSV (CC BY 4.0).",
      "tags": [
        "opendata",
        "api",
        "mcp",
        "travel"
      ],
      "path": "/tablejourney/food-festival-dates-as-open-data-a-free-api-an-mcp-server-and-sql-55f4",
      "url": "https://dev.to/tablejourney/food-festival-dates-as-open-data-a-free-api-an-mcp-server-and-sql-55f4",
      "score": 1.0
    },
    {
      "id": 4814312,
      "title": "Gardener of the AI Era: a monsoon garden helper for people who will never see a frost",
      "description": "This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass          ...",
      "tags": [
        "devchallenge",
        "hf26challenge",
        "ai",
        "opensource"
      ],
      "path": "/abishethvarman/gardener-of-the-ai-era-a-monsoon-garden-helper-for-people-who-will-never-see-a-frost-l5k",
      "url": "https://dev.to/abishethvarman/gardener-of-the-ai-era-a-monsoon-garden-helper-for-people-who-will-never-see-a-frost-l5k",
      "score": 1.0
    },
    {
      "id": 4632633,
      "title": "How to Use the OpenWeatherMap API — A Practical Guide.",
      "description": "Overview  The OpenWeatherMap API provides current weather data for any location in the world,...",
      "tags": [
        "api",
        "documentation",
        "beginners",
        "tutorial"
      ],
      "path": "/joycefosterr/how-to-use-the-openweathermap-api-a-practical-guide-57i2",
      "url": "https://dev.to/joycefosterr/how-to-use-the-openweathermap-api-a-practical-guide-57i2",
      "score": 1.0
    }
  ]
}

▸ Write {"file_path": "./TouchGrass\\plottwist\\climate.py", "content": "\"\"\"Frost ...

Input

{"file_path": "./TouchGrass\\plottwist\\climate.py", "content": "\"\"\"Frost dates and climate normals from 30 years of daily weather (Open-Meteo, no API key).\n\nResults are cached to disk so a location only needs the internet once.\n\"\"\"\nimport datetime as dt\nimport json\nimport statistics\nimport urllib.parse\nimport urllib.request\nfrom pathlib import Path\n\nCACHE_DIR = Path(__file__).parent / \"cache\"\nARCHIVE_URL = \"https://archive-api.open-meteo.com/v1/archive\"\nFORECAST_URL = \"https://api.open-meteo.com/v1/forecast\"\nGEOCODE_URL = \"https://geocoding-api.open-meteo.com/v1/search\"\n\nFIRST_YEAR, LAST_YEAR = 1996, 2025\nFROST_C = 0.0          # daily minimum air temperature at 2 m that counts as a frost\nSOUTH_SHIFT = 182      # days to shift southern-hemisphere dates so \"spring\" lands in Jan-Jul\nMID_SEASON_DOY = 197   # ~mid July (in shifted terms): splits spring frosts from fall frosts\n\n\ndef _get_json(url, params, timeout=60):\n    full = f\"{url}?{urllib.parse.urlencode(params)}\"\n    req = urllib.request.Request(full, headers={\"User-Agent\": \"PlotTwist/1.0\"})\n    with urllib.request.urlopen(req, timeout=timeout) as resp:\n        return json.load(resp)\n\n\ndef geocode(query):\n    data = _get_json(GEOCODE_URL, {\"name\": query, \"count\": 5, \"language\": \"en\", \"format\": \"json\"}, timeout=15)\n    return [\n        {\n            \"name\": r[\"name\"],\n            \"region\": \", \".join(x for x in (r.get(\"admin1\"), r.get(\"country\")) if x),\n            \"lat\": r[\"latitude\"],\n            \"lon\": r[\"longitude\"],\n        }\n        for r in data.get(\"results\", [])\n    ]\n\n\ndef _cache_path(lat, lon):\n    return CACHE_DIR / f\"climate_{lat:.2f}_{lon:.2f}.json\"\n\n\ndef _fetch_history(lat, lon):\n    data = _get_json(ARCHIVE_URL, {\n        \"latitude\": lat, \"longitude\": lon,\n        \"start_date\": f\"{FIRST_YEAR}-01-01\", \"end_date\": f\"{LAST_YEAR}-12-31\",\n        \"daily\": \"temperature_2m_min,temperature_2m_max,precipitation_sum\",\n        \"timezone\": \"auto\",\n    }, timeout=120)\n    return data[\"daily\"]\n\n\ndef _percentile(values, p):\n    s = sorted(values)\n    k = (len(s) - 1) * p\n    lo, hi = int(k), min(int(k) + 1, len(s) - 1)\n    return s[lo] + (s[hi] - s[lo]) * (k - lo)\n\n\ndef _summarise(daily, south):\n    last_spring, first_fall = {}, {}\n    month_tmin = {m: [] for m in range(1, 13)}\n    month_tmax = {m: [] for m in range(1, 13)}\n    month_rain = {}  # (year, month) -> total\n\n    for day, tmin, tmax, rain in zip(daily[\"time\"], daily[\"temperature_2m_min\"],\n                                     daily[\"temperature_2m_max\"], daily[\"precipitation_sum\"]):\n        if tmin is None or tmax is None:\n            continue\n        d = dt.date.fromisoformat(day)\n        month_tmin[d.month].append(tmin)\n        month_tmax[d.month].append(tmax)\n        month_rain[(d.year, d.month)] = month_rain.get((d.year, d.month), 0.0) + (rain or 0.0)\n\n        s = d + dt.timedelta(days=SOUTH_SHIFT) if south else d\n        year, doy = s.year, s.timetuple().tm_yday\n        last_spring.setdefault(year, None)\n        first_fall.setdefault(year, None)\n        if tmin <= FROST_C:\n            if doy < MID_SEASON_DOY:\n                last_spring[year] = doy\n            elif first_fall[year] is None:\n                first_fall[year] = doy\n\n    # Only use season-years fully covered by the data.\n    years = [y for y in last_spring if (FIRST_YEAR + (1 if south else 0)) <= y <= LAST_YEAR]\n    spring = [last_spring[y] for y in years]\n    fall = [first_fall[y] for y in years]\n    frost_years = sum(1 for v in spring if v is not None) + sum(1 for v in fall if v is not None)\n    frost_share = frost_years / (2 * len(years)) if years else 0\n\n    monthly = []\n    for m in range(1, 13):\n        rains = [v for (y, mm), v in month_rain.items() if mm == m]\n        monthly.append({\n            \"month\": m,\n            \"tmin\": round(statistics.mean(month_tmin[m]), 1),\n            \"tmax\": round(statistics.mean(month_tmax[m]), 1),\n            \"rain_mm\": round(statistics.mean(rains)) if rains else 0,\n        })\n\n    result = {\"south\": south, \"years\": len(years), \"frost_share\": round(frost_share, 2), \"monthly\": monthly}\n    if frost_share < 0.2:\n        result[\"frost_free\"] = True\n        return result\n\n    # A year with no spring frost counts as \"frost ended on day 0\"; no fall frost as \"day 366\".\n    spring_vals = [v if v is not None else 0 for v in spring]\n    fall_vals = [v if v is not None else 366 for v in fall]\n    result.update({\n        \"frost_free\": False,\n        # Day-of-season numbers; converted to real dates per request.\n        \"last_frost_50\": round(_percentile(spring_vals, 0.5)),\n        \"last_frost_90\": round(_percentile(spring_vals, 0.9)),   # only 1 year in 10 frosts later\n        \"first_frost_50\": round(_percentile(fall_vals, 0.5)),\n        \"first_frost_10\": round(_percentile(fall_vals, 0.1)),   # only 1 year in 10 frosts earlier\n        \"frost_free_days_50\": round(_percentile(fall_vals, 0.5) - _percentile(spring_vals, 0.5)),\n    })\n    return result\n\n\ndef climate(lat, lon):\n    path = _cache_path(lat, lon)\n    if path.exists():\n        return json.loads(path.read_text())\n    summary = _summarise(_fetch_history(lat, lon), south=lat < 0)\n    CACHE_DIR.mkdir(exist_ok=True)\n    path.write_text(json.dumps(summary))\n    return summary\n\n\ndef season_doy_to_date(doy, south, today):\n    \"\"\"Turn a day-of-season number into the calendar date of that event nearest to `today`'s season.\"\"\"\n    candidates = []\n    for year in (today.year - 1, today.year, today.year + 1):\n        d = dt.date(year, 1, 1) + dt.timedelta(days=doy - 1)\n        if south:\n            d -= dt.timedelta(days=SOUTH_SHIFT)\n        candidates.append(d)\n    return candidates\n\n\ndef forecast(lat, lon):\n    \"\"\"Next 7 days of min/max temperature and rain, plu
… [920 more characters trimmed]

Output

File created successfully at: ./TouchGrass\plottwist\climate.py (file state is current in your context — no need to Read it back)

I'll swap the date helper for a simpler version: everything is compared as "day of the season", and real dates are only produced for display.

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\climate.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\climate.py",
  "old_string": "def season_doy_to_date(doy, south, today):\n    \"\"\"Turn a day-of-season number into the calendar date of that event nearest to `today`'s season.\"\"\"\n    candidates = []\n    for year in (today.year - 1, today.year, today.year + 1):\n        d = dt.date(year, 1, 1) + dt.timedelta(days=doy - 1)\n        if south:\n            d -= dt.timedelta(days=SOUTH_SHIFT)\n        candidates.append(d)\n    return candidates",
  "new_string": "def season_day(date, south):\n    \"\"\"(season_year, day_of_season) for a calendar date. For the south, the season starts ~July 1.\"\"\"\n    s = date + dt.timedelta(days=SOUTH_SHIFT) if south else date\n    return s.year, s.timetuple().tm_yday\n\n\ndef season_date(season_year, doy, south):\n    \"\"\"Inverse of season_day: the calendar date of a day-of-season number.\"\"\"\n    d = dt.date(season_year, 1, 1) + dt.timedelta(days=doy - 1)\n    return d - dt.timedelta(days=SOUTH_SHIFT) if south else d"
}

Output

The file ./TouchGrass\plottwist\climate.py has been updated successfully. (file state is current in your context — no need to Read it back)

Next is the crop calendar and the planner logic.

▸ Write {"file_path": "./TouchGrass\\plottwist\\planner.py", "content": "\"\"\"Turn f...

Input

{"file_path": "./TouchGrass\\plottwist\\planner.py", "content": "\"\"\"Turn frost dates + this week's forecast into concrete \"do this outside now\" actions.\n\nEverything here is deterministic. The language model only explains these facts; it never invents dates.\n\"\"\"\nimport datetime as dt\n\nfrom climate import season_date, season_day\n\nW = 7  # days per week\n\n# Windows are in weeks relative to a reference date:\n#   \"lf50\" = median last spring frost, \"lf90\" = date after which 9 years in 10 are frost-free.\n# fall=True means the crop can also be sown late in the season to harvest before / through frost.\n# trop = (min, max) monthly mean °C a crop is happy in, used where it never frosts.\nCROPS = [\n    # warm-season, frost-tender\n    {\"name\": \"Tomato\", \"emoji\": \"🍅\", \"indoor\": (-8, -6), \"out\": (\"Transplant\", 0, 5, \"lf90\"), \"soil\": 16, \"dtm\": 75, \"trop\": (18, 30)},\n    {\"name\": \"Chilli / pepper\", \"emoji\": \"🌶️\", \"indoor\": (-10, -8), \"out\": (\"Transplant\", 1, 5, \"lf90\"), \"soil\": 18, \"dtm\": 80, \"trop\": (20, 32)},\n    {\"name\": \"Eggplant / brinjal\", \"emoji\": \"🍆\", \"indoor\": (-9, -7), \"out\": (\"Transplant\", 1, 5, \"lf90\"), \"soil\": 18, \"dtm\": 80, \"trop\": (22, 32)},\n    {\"name\": \"Basil\", \"emoji\": \"🌿\", \"indoor\": (-6, -4), \"out\": (\"Transplant\", 1, 6, \"lf90\"), \"soil\": 18, \"dtm\": 50, \"trop\": (20, 32)},\n    {\"name\": \"Cucumber\", \"emoji\": \"🥒\", \"out\": (\"Direct sow\", 1, 7, \"lf90\"), \"soil\": 16, \"dtm\": 55, \"trop\": (20, 32)},\n    {\"name\": \"Zucchini / squash\", \"emoji\": \"🥬\", \"out\": (\"Direct sow\", 1, 6, \"lf90\"), \"soil\": 16, \"dtm\": 50, \"trop\": (18, 32)},\n    {\"name\": \"Bush beans\", \"emoji\": \"🫘\", \"out\": (\"Direct sow\", 0, 8, \"lf90\"), \"soil\": 16, \"dtm\": 55, \"fall\": True, \"trop\": (18, 30)},\n    {\"name\": \"Sweet corn\", \"emoji\": \"🌽\", \"out\": (\"Direct sow\", 1, 5, \"lf90\"), \"soil\": 16, \"dtm\": 80, \"trop\": (20, 32)},\n    {\"name\": \"Okra\", \"emoji\": \"🌱\", \"out\": (\"Direct sow\", 2, 6, \"lf90\"), \"soil\": 20, \"dtm\": 60, \"trop\": (24, 34)},\n    {\"name\": \"Pumpkin\", \"emoji\": \"🎃\", \"out\": (\"Direct sow\", 1, 4, \"lf90\"), \"soil\": 16, \"dtm\": 100, \"trop\": (20, 32)},\n    {\"name\": \"Amaranth\", \"emoji\": \"🌾\", \"out\": (\"Direct sow\", 1, 6, \"lf90\"), \"soil\": 18, \"dtm\": 40, \"trop\": (22, 34)},\n    {\"name\": \"Marigold\", \"emoji\": \"🌼\", \"indoor\": (-6, -4), \"out\": (\"Transplant\", 0, 6, \"lf90\"), \"soil\": 15, \"dtm\": 60, \"trop\": (18, 32)},\n    {\"name\": \"Sunflower\", \"emoji\": \"🌻\", \"out\": (\"Direct sow\", 0, 6, \"lf90\"), \"soil\": 10, \"dtm\": 80, \"trop\": (18, 32)},\n    # cool-season, frost-hardy\n    {\"name\": \"Peas\", \"emoji\": \"🫛\", \"out\": (\"Direct sow\", -6, -2, \"lf50\"), \"soil\": 5, \"dtm\": 60, \"fall\": True, \"trop\": (12, 22)},\n    {\"name\": \"Spinach\", \"emoji\": \"🥬\", \"out\": (\"Direct sow\", -6, -2, \"lf50\"), \"soil\": 5, \"dtm\": 40, \"fall\": True, \"trop\": (10, 22)},\n    {\"name\": \"Lettuce\", \"emoji\": \"🥗\", \"indoor\": (-6, -4), \"out\": (\"Direct sow\", -4, 2, \"lf50\"), \"soil\": 5, \"dtm\": 45, \"fall\": True, \"trop\": (12, 24)},\n    {\"name\": \"Radish\", \"emoji\": \"🔴\", \"out\": (\"Direct sow\", -5, 1, \"lf50\"), \"soil\": 5, \"dtm\": 25, \"fall\": True, \"trop\": (10, 26)},\n    {\"name\": \"Carrot\", \"emoji\": \"🥕\", \"out\": (\"Direct sow\", -3, 3, \"lf50\"), \"soil\": 7, \"dtm\": 70, \"fall\": True, \"trop\": (12, 26)},\n    {\"name\": \"Beetroot\", \"emoji\": \"🟣\", \"out\": (\"Direct sow\", -3, 3, \"lf50\"), \"soil\": 7, \"dtm\": 55, \"fall\": True, \"trop\": (12, 26)},\n    {\"name\": \"Kale\", \"emoji\": \"🥬\", \"indoor\": (-8, -6), \"out\": (\"Transplant\", -4, 0, \"lf50\"), \"soil\": 7, \"dtm\": 55, \"fall\": True, \"trop\": (10, 24)},\n    {\"name\": \"Broccoli\", \"emoji\": \"🥦\", \"indoor\": (-8, -6), \"out\": (\"Transplant\", -2, 1, \"lf50\"), \"soil\": 7, \"dtm\": 70, \"fall\": True, \"trop\": (12, 24)},\n    {\"name\": \"Cabbage\", \"emoji\": \"🥬\", \"indoor\": (-8, -6), \"out\": (\"Transplant\", -4, 0, \"lf50\"), \"soil\": 7, \"dtm\": 70, \"fall\": True, \"trop\": (10, 24)},\n    {\"name\": \"Onion\", \"emoji\": \"🧅\", \"indoor\": (-12, -10), \"out\": (\"Transplant\", -4, -2, \"lf50\"), \"soil\": 7, \"dtm\": 100, \"trop\": (13, 26)},\n    {\"name\": \"Potato\", \"emoji\": \"🥔\", \"out\": (\"Plant seed potatoes\", -3, 1, \"lf50\"), \"soil\": 7, \"dtm\": 90, \"trop\": (15, 25)},\n    {\"name\": \"Coriander / cilantro\", \"emoji\": \"🌿\", \"out\": (\"Direct sow\", -2, 2, \"lf50\"), \"soil\": 10, \"dtm\": 45, \"fall\": True, \"trop\": (12, 26)},\n    {\"name\": \"Fenugreek / methi\", \"emoji\": \"🌿\", \"out\": (\"Direct sow\", -2, 3, \"lf50\"), \"soil\": 10, \"dtm\": 30, \"fall\": True, \"trop\": (12, 26)},\n    {\"name\": \"Mustard greens\", \"emoji\": \"🥬\", \"out\": (\"Direct sow\", -4, 1, \"lf50\"), \"soil\": 7, \"dtm\": 40, \"fall\": True, \"trop\": (12, 25)},\n    # fall-only plantings, relative to the median first fall frost\n    {\"name\": \"Garlic\", \"emoji\": \"🧄\", \"autumn\": (\"Plant cloves\", -2, 4), \"trop\": (12, 22), \"soil\": 0, \"dtm\": 240},\n    {\"name\": \"Winter rye cover crop\", \"emoji\": \"🌾\", \"autumn\": (\"Sow cover crop\", -6, 2), \"soil\": 0, \"dtm\": 0},\n]\n\n\ndef _in_window(today_doy, start, end):\n    \"\"\"True if today falls in [start, end] (day-of-season numbers that may spill past a year boundary).\"\"\"\n    return any(start <= today_doy + shift <= end for shift in (-365, 0, 365))\n\n\ndef _fmt(d):\n    return d.strftime(\"%b %-d\") if hasattr(d, \"strftime\") and not _windows() else d.strftime(\"%b %d\").replace(\" 0\", \" \")\n\n\ndef _windows():\n    import os\n    return os.name == \"nt\"\n\n\ndef _windows_for(crop, c):\n    \"\"\"All (action, start_doy, end_doy) windows for a crop in a frosty climate.\"\"\"\n    refs = {\"lf50\": c[\"last_frost_50\"], \"lf90\": c[\"last_frost_90\"]}\n 
… [5593 more characters trimmed]

Output

File created successfully at: ./TouchGrass\plottwist\planner.py (file state is current in your context — no need to Read it back)

I left a clumsy date formatter in there. Fixing it with a version that works on every OS:

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\planner.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\planner.py",
  "old_string": "def _fmt(d):\n    return d.strftime(\"%b %-d\") if hasattr(d, \"strftime\") and not _windows() else d.strftime(\"%b %d\").replace(\" 0\", \" \")\n\n\ndef _windows():\n    import os\n    return os.name == \"nt\"",
  "new_string": "def _fmt(d):\n    return f\"{d:%b} {d.day}\""
}

Output

The file ./TouchGrass\plottwist\planner.py has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Read <temp>

Input

<temp>

Output

1    The `msstore` source requires that you view the following agreements before using.
2   Terms of Transaction: https://aka.ms/microsoft-store-terms-of-transaction
3   The source requires the current machine's 2-letter geographic region to be sent to the backend service to function properly (ex. "US").
4   
5   Found Ollama [Ollama.Ollama] Version 0.40.2
6   This application is licensed to you by its owner.
7   Microsoft is not responsible for, nor does it grant any licenses to, third-party packages.
8   Downloading https://github.com/ollama/ollama/releases/download/v0.40.2/OllamaSetup.exe
9

Ollama is still downloading. Meanwhile, here are the Ollama client and the web server:

▸ Write {"file_path": "./TouchGrass\\plottwist\\coach.py", "content": "\"\"\"Talks to...

Input

{
  "file_path": "./TouchGrass\\plottwist\\coach.py",
  "content": "\"\"\"Talks to a local open-weight model through Ollama. Nothing leaves the machine.\"\"\"\nimport json\nimport os\nimport urllib.request\n\nOLLAMA = os.environ.get(\"OLLAMA_HOST\", \"http://127.0.0.1:11434\")\nMODEL = os.environ.get(\"PLOTTWIST_MODEL\", \"gemma3:4b\")\n\nSYSTEM = \"\"\"You are a down-to-earth garden coach writing a weekly card someone will take outside.\nUse ONLY the JSON facts you are given. Never invent dates, temperatures or crops that are not in the facts.\nWrite in this exact shape, under 200 words, plain markdown:\n\n**This week in <place>:** two sentences on frost risk, soil temperature and rain, citing numbers from the facts.\n\n**Outside this week**\n- 4 to 6 checklist items. Start each with a verb. Name the crop and the action from plant_now.\n  If a crop has a soil warning, say to wait. If frost_alert exists, the first item is protecting tender plants.\n\n**Go look:** one small observation to make with your hands or eyes in the garden today\n(e.g. squeeze a handful of soil, check under leaves, look for the first yellow leaves).\n\nDo not add any other sections.\"\"\"\n\n\ndef health():\n    try:\n        with urllib.request.urlopen(f\"{OLLAMA}/api/tags\", timeout=3) as r:\n            models = [m[\"name\"] for m in json.load(r).get(\"models\", [])]\n    except OSError:\n        return {\"ollama\": False, \"model\": MODEL, \"model_ready\": False}\n    return {\"ollama\": True, \"model\": MODEL, \"model_ready\": any(m.startswith(MODEL) for m in models)}\n\n\ndef _slim(facts):\n    \"\"\"The model doesn't need 12 months of normals or raw numbers to write the card.\"\"\"\n    keep = {k: v for k, v in facts.items() if k not in (\"monthly_normals\", \"frost_dates_raw\")}\n    if \"forecast\" in keep:\n        keep[\"forecast\"] = [{\"date\": d[\"date\"], \"min\": d[\"tmin\"], \"max\": d[\"tmax\"], \"rain\": d[\"rain_mm\"]}\n                            for d in keep[\"forecast\"]]\n    keep[\"plant_now\"] = keep[\"plant_now\"][:10]\n    keep[\"coming_up\"] = keep[\"coming_up\"][:5]\n    return keep\n\n\ndef stream_brief(facts):\n    \"\"\"Yield text chunks of the weekly card as the model writes them.\"\"\"\n    body = json.dumps({\n        \"model\": MODEL,\n        \"stream\": True,\n        \"options\": {\"temperature\": 0.4, \"num_ctx\": 4096},\n        \"messages\": [\n            {\"role\": \"system\", \"content\": SYSTEM},\n            {\"role\": \"user\", \"content\": json.dumps(_slim(facts), ensure_ascii=False)},\n        ],\n    }).encode()\n    req = urllib.request.Request(f\"{OLLAMA}/api/chat\", data=body, headers={\"Content-Type\": \"application/json\"})\n    with urllib.request.urlopen(req, timeout=300) as resp:\n        for line in resp:\n            if not line.strip():\n                continue\n            msg = json.loads(line)\n            if msg.get(\"error\"):\n                raise RuntimeError(msg[\"error\"])\n            chunk = msg.get(\"message\", {}).get(\"content\", \"\")\n            if chunk:\n                yield chunk\n            if msg.get(\"done\"):\n                break\n"
}

Output

File created successfully at: ./TouchGrass\plottwist\coach.py (file state is current in your context — no need to Read it back)

▸ Write {"file_path": "./TouchGrass\\plottwist\\server.py", "content": "\"\"\"Plot Tw...

Input

{
  "file_path": "./TouchGrass\\plottwist\\server.py",
  "content": "\"\"\"Plot Twist: a garden planner that runs on your laptop. Python standard library only.\n\n    python server.py            -> http://127.0.0.1:8000\n\"\"\"\nimport datetime as dt\nimport json\nimport os\nimport sys\nimport urllib.parse\nfrom http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\nfrom pathlib import Path\n\nimport climate\nimport coach\nfrom planner import build_plan\n\nSTATIC = Path(__file__).parent / \"static\"\nPORT = int(os.environ.get(\"PORT\", 8000))\n\n\nclass Handler(BaseHTTPRequestHandler):\n    def log_message(self, fmt, *args):\n        sys.stderr.write(f\"  {self.command} {self.path.split('?')[0]}\\n\")\n\n    def _send(self, status, body, ctype=\"application/json\"):\n        data = body if isinstance(body, bytes) else json.dumps(body, ensure_ascii=False).encode()\n        self.send_response(status)\n        self.send_header(\"Content-Type\", ctype)\n        self.send_header(\"Content-Length\", str(len(data)))\n        self.end_headers()\n        self.wfile.write(data)\n\n    def do_GET(self):\n        url = urllib.parse.urlparse(self.path)\n        q = {k: v[0] for k, v in urllib.parse.parse_qs(url.query).items()}\n        try:\n            if url.path == \"/\":\n                self._send(200, (STATIC / \"index.html\").read_bytes(), \"text/html; charset=utf-8\")\n            elif url.path == \"/api/health\":\n                self._send(200, coach.health())\n            elif url.path == \"/api/geocode\":\n                self._send(200, climate.geocode(q.get(\"q\", \"\")))\n            elif url.path == \"/api/plan\":\n                lat, lon = round(float(q[\"lat\"]), 2), round(float(q[\"lon\"]), 2)\n                today = dt.date.fromisoformat(q[\"date\"]) if q.get(\"date\") else dt.date.today()\n                c = climate.climate(lat, lon)\n                fc = climate.forecast(lat, lon) if not q.get(\"date\") else None\n                self._send(200, build_plan(c, fc, today, q.get(\"name\", f\"{lat}, {lon}\")))\n            else:\n                self._send(404, {\"error\": \"not found\"})\n        except OSError as e:\n            self._send(502, {\"error\": f\"Couldn't reach the weather service ({e}). First lookup for a place needs internet.\"})\n        except (KeyError, ValueError) as e:\n            self._send(400, {\"error\": f\"Bad request: {e}\"})\n\n    def do_POST(self):\n        if self.path != \"/api/brief\":\n            return self._send(404, {\"error\": \"not found\"})\n        facts = json.loads(self.rfile.read(int(self.headers[\"Content-Length\"])))\n        self.send_response(200)\n        self.send_header(\"Content-Type\", \"text/plain; charset=utf-8\")\n        self.end_headers()\n        try:\n            for chunk in coach.stream_brief(facts):\n                self.wfile.write(chunk.encode())\n                self.wfile.flush()\n        except (OSError, RuntimeError) as e:\n            self.wfile.write(f\"\\n\\n_(The local model isn't answering: {e}. Is Ollama running with {coach.MODEL}?)_\".encode())\n\n\nif __name__ == \"__main__\":\n    print(f\"Plot Twist on http://127.0.0.1:{PORT}  (model: {coach.MODEL})\")\n    ThreadingHTTPServer((\"127.0.0.1\", PORT), Handler).serve_forever()\n"
}

Output

File created successfully at: ./TouchGrass\plottwist\server.py (file state is current in your context — no need to Read it back)

Before building the UI I'll test the planner logic on real places: Minneapolis, London, Pune and Melbourne.

▸ Bash cd "./TouchGrass/plottwist" && cat > "<scratchpad>/try_plan.py" <<'EOF' impor...

Input

$ cd "./TouchGrass/plottwist" && cat > "<scratchpad>/try_plan.py" <<'EOF'
import sys, datetime as dt, json, time
sys.path.insert(0, ".")
import climate
from planner import build_plan
for name, lat, lon in [("Minneapolis",44.98,-93.27),("London",51.51,-0.13),("Pune",18.52,73.86),("Melbourne",-37.81,144.96)]:
    t=time.time(); c = climate.climate(lat, lon); fc = climate.forecast(lat, lon)
    p = build_plan(c, fc, dt.date(2026,10,11), name)
    print(f"== {name} ({time.time()-t:.1f}s) frost_free={p['frost_free']} share={c['frost_share']} soil={p['soil_temp_c']}")
    print("  dates:", p.get("frost_dates"), "alert:", p.get("frost_alert"))
    for i in p["plant_now"]: print("  NOW ", i["emoji"], i["crop"], "|", i["action"], "|", i.get("window",""), "|", i.get("warning",""))
    for i in p["coming_up"]: print("  SOON", i["crop"], "|", i["action"], "| in", i.get("opens_in_days"))
EOF
python "<scratchpad>/try_plan.py"

Output

Exit code 1
== Minneapolis (4.5s) frost_free=False share=1.0 soil=23.0
  dates: {'last_frost_50': 'Apr 22', 'last_frost_90': 'May 4', 'first_frost_50': 'Oct 24', 'first_frost_10': 'Oct 10'} alert: None
  NOW  Traceback (most recent call last):
  File "<scratchpad>\try_plan.py", line 10, in <module>
    for i in p["plant_now"]: print("  NOW ", i["emoji"], i["crop"], "|", i["action"], "|", i.get("window",""), "|", i.get("warning",""))
                             ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "~\AppData\Local\Programs\Python\Python314\Lib\encodings\cp1252.py", line 19, in encode
    return codecs.charmap_encode(input,self.errors,encoding_table)[0]
           ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeEncodeError: 'charmap' codec can't encode character '\U0001f33e' in position 0: character maps to <undefined>

The only problem is a console encoding issue with emoji on Windows. The frost dates for Minneapolis look realistic. Re-running:

▸ Bash cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python "<scratchpad>/tr...

Input

$ cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python "<scratchpad>/try_plan.py"

Output

Exit code 1
== Minneapolis (0.7s) frost_free=False share=1.0 soil=23.0
  dates: {'last_frost_50': 'Apr 22', 'last_frost_90': 'May 4', 'first_frost_50': 'Oct 24', 'first_frost_10': 'Oct 10'} alert: None
  NOW  🌾 Winter rye cover crop | Sow cover crop | Sep 12 – Nov 7 | 
  NOW  🧄 Garlic | Plant cloves | Oct 10 – Nov 21 | 
== London (3.9s) frost_free=False share=1.0 soil=11.6
  dates: {'last_frost_50': 'Apr 6', 'last_frost_90': 'Apr 19', 'first_frost_50': 'Nov 16', 'first_frost_10': 'Oct 30'} alert: None
  NOW  🥬 Spinach | Sow for fall harvest | Sep 16 – Oct 14 | 
  NOW  🥬 Mustard greens | Sow for fall harvest | Sep 16 – Oct 14 | 
  NOW  🌿 Fenugreek / methi | Sow for fall harvest | Sep 26 – Oct 24 | 
  NOW  🔴 Radish | Sow for fall harvest | Oct 1 – Oct 29 | 
  NOW  🌾 Winter rye cover crop | Sow cover crop | Oct 5 – Nov 30 | 
== Pune (2.4s) frost_free=True share=0.0 soil=28.0
  dates: None alert: None
  NOW  🍅 Tomato | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  🌶️ Chilli / pepper | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  🍆 Eggplant / brinjal | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  🌿 Basil | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  🥒 Cucumber | Sow outside |  | 
  NOW  🥬 Zucchini / squash | Sow outside |  | 
  NOW  🫘 Bush beans | Sow outside |  | 
  NOW  🌽 Sweet corn | Sow outside |  | 
  NOW  🎃 Pumpkin | Sow outside |  | 
  NOW  🌾 Amaranth | Sow outside |  | 
  NOW  🌼 Marigold | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  🌻 Sunflower | Sow outside |  | 
  NOW  🔴 Radish | Sow outside |  | 
  NOW  🥕 Carrot | Sow outside |  | 
  NOW  🟣 Beetroot | Sow outside |  | 
  NOW  🧅 Onion | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  🥔 Potato | Sow outside |  | 
  NOW  🌿 Coriander / cilantro | Sow outside |  | 
  NOW  🌿 Fenugreek / methi | Sow outside |  | 
  NOW  🥬 Mustard greens | Sow outside |  | 
  SOON Lettuce | Sow in trays, transplant in 3–4 weeks | in 21
  SOON Kale | Sow in trays, transplant in 3–4 weeks | in 21
  SOON Broccoli | Sow in trays, transplant in 3–4 weeks | in 21
  SOON Cabbage | Sow in trays, transplant in 3–4 weeks | in 21
Traceback (most recent call last):
  File "<scratchpad>\try_plan.py", line 6, in <module>
    t=time.time(); c = climate.climate(lat, lon); fc = climate.forecast(lat, lon)
                       ~~~~~~~~~~~~~~~^^^^^^^^^^
  File "./TouchGrass\plottwist\climate.py", line 130, in climate
    summary = _summarise(_fetch_history(lat, lon), 
… [1492 more characters trimmed]

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\climate.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\climate.py",
  "old_string": "def _get_json(url, params, timeout=60):\n    full = f\"{url}?{urllib.parse.urlencode(params)}\"\n    req = urllib.request.Request(full, headers={\"User-Agent\": \"PlotTwist/1.0\"})\n    with urllib.request.urlopen(req, timeout=timeout) as resp:\n        return json.load(resp)",
  "new_string": "def _get_json(url, params, timeout=60, retries=2):\n    full = f\"{url}?{urllib.parse.urlencode(params)}\"\n    req = urllib.request.Request(full, headers={\"User-Agent\": \"PlotTwist/1.0\"})\n    for attempt in range(retries + 1):\n        try:\n            with urllib.request.urlopen(req, timeout=timeout) as resp:\n                return json.load(resp)\n        except urllib.error.HTTPError as e:\n            # 30 years of history is a \"heavy\" request for the free API; back off and retry.\n            if e.code != 429 or attempt == retries:\n                raise\n            time.sleep(20 * (attempt + 1))"
}

Output

The file ./TouchGrass\plottwist\climate.py has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\climate.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\climate.py",
  "old_string": "import statistics\nimport urllib.parse",
  "new_string": "import statistics\nimport time\nimport urllib.error\nimport urllib.parse"
}

Output

The file ./TouchGrass\plottwist\climate.py has been updated successfully. (file state is current in your context — no need to Read it back)

While the rate limit cools down I'll build the UI. First, one small addition so the frost timeline knows where "today" falls in the season:

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\planner.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\planner.py",
  "old_string": "        facts[\"frost_dates_raw\"] = {k: c[k] for k in (\"last_frost_50\", \"last_frost_90\", \"first_frost_50\", \"first_frost_10\")}",
  "new_string": "        facts[\"frost_dates_raw\"] = {k: c[k] for k in (\"last_frost_50\", \"last_frost_90\", \"first_frost_50\", \"first_frost_10\")}\n        facts[\"frost_dates_raw\"][\"today\"] = season_day(today, c[\"south\"])[1]"
}

Output

The file ./TouchGrass\plottwist\planner.py has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Write {"file_path": "./TouchGrass\\plottwist\\static\\index.html", "content": "<!do...

Input

{"file_path": "./TouchGrass\\plottwist\\static\\index.html", "content": "<!doctype html>\n<html lang=\"en\">\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>Plot Twist</title>\n<link rel=\"icon\" href=\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🌱</text></svg>\">\n<style>\n  :root {\n    --bg: #f6f3ea; --panel: #fffdf7; --ink: #23291f; --muted: #6b705f; --line: #e2dccb;\n    --leaf: #3f7d3a; --leaf-soft: #e3efd9; --frost: #8fb4d9; --frost-deep: #4f7fb0; --frost-soft: #e4eef8;\n    --warn: #a35b12; --warn-soft: #fbecd7; --today: #c2410c;\n  }\n  @media (prefers-color-scheme: dark) {\n    :root:not([data-theme=\"light\"]) {\n      --bg: #161a14; --panel: #1f251c; --ink: #e8ead f; --ink: #e6e9df; --muted: #9da48f; --line: #343c2f;\n      --leaf: #8cc97f; --leaf-soft: #263522; --frost: #5d84ad; --frost-deep: #8fb4e0; --frost-soft: #1e2a36;\n      --warn: #f0b46b; --warn-soft: #3a2b18; --today: #fb923c;\n    }\n  }\n  * { box-sizing: border-box; }\n  body { margin: 0; background: var(--bg); color: var(--ink); font: 16px/1.5 system-ui, -apple-system, \"Segoe UI\", sans-serif; }\n  main { max-width: 880px; margin: 0 auto; padding: 32px 16px 64px; }\n  h1 { font-size: 2.2rem; margin: 0; letter-spacing: -0.02em; }\n  h2 { font-size: 1.1rem; margin: 0 0 12px; }\n  .tag { color: var(--muted); margin: 4px 0 24px; max-width: 60ch; }\n  .panel { background: var(--panel); border: 1px solid var(--line); border-radius: 14px; padding: 18px; margin-bottom: 16px; }\n  .search { display: flex; gap: 8px; flex-wrap: wrap; }\n  input[type=text] { flex: 1 1 220px; padding: 11px 12px; border-radius: 10px; border: 1px solid var(--line); background: var(--bg); color: var(--ink); font: inherit; }\n  button { padding: 11px 16px; border-radius: 10px; border: 0; background: var(--leaf); color: var(--panel); font: inherit; font-weight: 600; cursor: pointer; }\n  button.ghost { background: transparent; color: var(--leaf); border: 1px solid var(--leaf); }\n  button:disabled { opacity: .5; cursor: wait; }\n  .results button { display: block; width: 100%; text-align: left; margin-top: 6px; background: var(--bg); color: var(--ink); border: 1px solid var(--line); font-weight: 400; }\n  .muted { color: var(--muted); font-size: .9rem; }\n  .stats { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 10px; margin-top: 14px; }\n  .stat { background: var(--bg); border-radius: 10px; padding: 10px 12px; }\n  .stat b { display: block; font-size: 1.25rem; }\n  .stat span { font-size: .8rem; color: var(--muted); }\n  .alert { background: var(--frost-soft); border-left: 4px solid var(--frost-deep); padding: 10px 12px; border-radius: 8px; margin-top: 12px; }\n  .strip { position: relative; height: 34px; border-radius: 8px; background: var(--leaf-soft); overflow: hidden; margin-top: 10px; }\n  .strip .z { position: absolute; top: 0; bottom: 0; }\n  .strip .today { position: absolute; top: -2px; bottom: -2px; width: 3px; background: var(--today); }\n  .months { display: flex; justify-content: space-between; font-size: .72rem; color: var(--muted); margin-top: 4px; }\n  .legend { display: flex; gap: 14px; flex-wrap: wrap; font-size: .8rem; color: var(--muted); margin-top: 8px; }\n  .legend i { display: inline-block; width: 12px; height: 12px; border-radius: 3px; vertical-align: -2px; margin-right: 4px; }\n  .bars { display: grid; grid-template-columns: repeat(12, 1fr); gap: 4px; align-items: end; height: 90px; margin-top: 10px; }\n  .bars div { background: var(--leaf); border-radius: 4px 4px 0 0; position: relative; }\n  .bars div.cur { background: var(--today); }\n  .cards { display: grid; grid-template-columns: repeat(auto-fill, minmax(240px, 1fr)); gap: 10px; }\n  .card { border: 1px solid var(--line); border-radius: 12px; padding: 12px; background: var(--bg); }\n  .card .e { font-size: 1.6rem; line-height: 1; }\n  .card .a { font-weight: 600; margin-top: 6px; }\n  .card .w { font-size: .85rem; color: var(--muted); }\n  .card .warn { margin-top: 8px; font-size: .82rem; background: var(--warn-soft); color: var(--warn); padding: 6px 8px; border-radius: 8px; }\n  .soon li { margin: 4px 0; }\n  .brief { white-space: normal; }\n  .brief ul { padding-left: 1.2em; }\n  .brief li { margin: 4px 0; }\n  .brief p { margin: 8px 0; }\n  .row { display: flex; gap: 8px; flex-wrap: wrap; align-items: center; justify-content: space-between; }\n  .pill { font-size: .78rem; padding: 3px 9px; border-radius: 99px; background: var(--leaf-soft); color: var(--leaf); }\n  .pill.off { background: var(--warn-soft); color: var(--warn); }\n  .hidden { display: none; }\n  footer { margin-top: 28px; font-size: .82rem; color: var(--muted); }\n  .cursor::after { content: \"▍\"; animation: blink 1s steps(1) infinite; }\n  @keyframes blink { 50% { opacity: 0; } }\n  @media print {\n    body { background: #fff; color: #000; }\n    .noprint, .search, footer, .tag { display: none !important; }\n    .panel { border: 1px solid #999; break-inside: avoid; }\n    .print-check li::before { content: \"☐ \"; }\n  }\n</style>\n</head>\n<body>\n<main>\n  <div class=\"row\">\n    <h1>🌱 Plot Twist</h1>\n    <span id=\"model\" class=\"pill\">checking model…</span>\n  </div>\n  <p class=\"tag\">What to plant <em>this week</em>, worked out from 30 years of your local weather, with a short garden card written by an open-weight model running on this laptop. Print the card and go outside.</p>\n\n  <section class=\"panel noprint\">\n    <form class=\"search\" id=\"form\">\n      <input id=\"q\" type=\"text\" placeholder=\"Your town or city, e.g. Pune, Minneapolis, Leeds\" autocomplete=\"off\">\n      <button type=\"submit\">Find</button>\n      <button type=\"button\" class=\"ghost\" id=\"geo\">Use my location</button>\n    </form>\n    <div id=\"results\" class=\"results\"></div>\n    <p id=\"status\" class=\"muted\"></p>\n  </sect
… [10259 more characters trimmed]

Output

File created successfully at: ./TouchGrass\plottwist\static\index.html (file state is current in your context — no need to Read it back)

Fixing a typo in the dark-mode colours:

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\static\\index.h...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\static\\index.html",
  "old_string": "--ink: #e8ead f; --ink: #e6e9df;",
  "new_string": "--ink: #e6e9df;"
}

Output

The file ./TouchGrass\plottwist\static\index.html has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Read <temp>

Input

<temp>

Output

1    The `msstore` source requires that you view the following agreements before using.
2   Terms of Transaction: https://aka.ms/microsoft-store-terms-of-transaction
3   The source requires the current machine's 2-letter geographic region to be sent to the backend service to function properly (ex. "US").
4   
5   Found Ollama [Ollama.Ollama] Version 0.40.2
6   This application is licensed to you by its owner.
7   Microsoft is not responsible for, nor does it grant any licenses to, third-party packages.
8   Downloading https://github.com/ollama/ollama/releases/download/v0.40.2/OllamaSetup.exe
9   Successfully verified installer hash
10  Starting package install...
11

Ollama is installing now. Meanwhile I'll test the southern hemisphere (Canberra and Melbourne):

▸ Bash cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python - <<'EOF' import...

Input

$ cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python - <<'EOF'
import sys, datetime as dt
sys.path.insert(0, ".")
import climate
from planner import build_plan
for name, lat, lon in [("Canberra",-35.28,149.13),("Melbourne",-37.81,144.96)]:
    c = climate.climate(lat, lon); fc = climate.forecast(lat, lon)
    p = build_plan(c, fc, dt.date(2026,10,11), name)
    print(f"== {name} frost_free={p['frost_free']} share={c['frost_share']} soil={p['soil_temp_c']}")
    print("  dates:", p.get("frost_dates"), p.get("frost_dates_raw"), "alert:", p.get("frost_alert"))
    for i in p["plant_now"]: print("  NOW ", i["crop"], "|", i["action"], "|", i.get("window",""), "|", i.get("warning",""))
    for i in p["coming_up"]: print("  SOON", i["crop"], "|", i["action"], "| in", i.get("opens_in_days"))
EOF

Output

== Canberra frost_free=False share=1.0 soil=15.2
  dates: {'last_frost_50': 'Sep 13', 'last_frost_90': 'Sep 30', 'first_frost_50': 'May 20', 'first_frost_10': 'May 5'} {'last_frost_50': 73, 'last_frost_90': 90, 'first_frost_50': 322, 'first_frost_10': 307, 'today': 101} alert: None
  NOW  Pumpkin | Direct sow | Oct 7 – Oct 28 | Soil is 15.2°C; pumpkin wants 16°C+. Wait or warm the bed.
  NOW  Tomato | Transplant | Sep 30 – Nov 4 | Soil is 15.2°C; tomato wants 16°C+. Wait or warm the bed.
  NOW  Chilli / pepper | Transplant | Oct 7 – Nov 4 | Soil is 15.2°C; chilli / pepper wants 18°C+. Wait or warm the bed.
  NOW  Eggplant / brinjal | Transplant | Oct 7 – Nov 4 | Soil is 15.2°C; eggplant / brinjal wants 18°C+. Wait or warm the bed.
  NOW  Sweet corn | Direct sow | Oct 7 – Nov 4 | Soil is 15.2°C; sweet corn wants 16°C+. Wait or warm the bed.
  NOW  Basil | Transplant | Oct 7 – Nov 11 | Soil is 15.2°C; basil wants 18°C+. Wait or warm the bed.
  NOW  Zucchini / squash | Direct sow | Oct 7 – Nov 11 | Soil is 15.2°C; zucchini / squash wants 16°C+. Wait or warm the bed.
  NOW  Amaranth | Direct sow | Oct 7 – Nov 11 | Soil is 15.2°C; amaranth wants 18°C+. Wait or warm the bed.
  NOW  Marigold | Transplant | Sep 30 – Nov 11 | 
  NOW  Sunflower | Direct sow | Sep 30 – Nov 11 | 
  NOW  Cucumber | Direct sow | Oct 7 – Nov 18 | Soil is 15.2°C; cucumber wants 16°C+. Wait or warm the bed.
  NOW  Bush beans | Direct sow | Sep 30 – Nov 25 | Soil is 15.2°C; bush beans wants 16°C+. Wait or warm the bed.
  SOON Okra | Direct sow | in 3
== Melbourne frost_free=True share=0.16 soil=19.4
  dates: None None alert: None
  NOW  Peas | Sow outside |  | 
  NOW  Spinach | Sow outside |  | 
  NOW  Lettuce | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  Radish | Sow outside |  | 
  NOW  Carrot | Sow outside |  | 
  NOW  Beetroot | Sow outside |  | 
  NOW  Kale | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  Broccoli | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  Cabbage | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  Onion | Sow in trays, transplant in 3–4 weeks |  | 
  NOW  Coriander / cilantro | Sow outside |  | 
  NOW  Fenugreek / methi | Sow outside |  | 
  NOW  Mustard greens | Sow outside |  | 
  NOW  Garlic | Plant cloves |  | 
  SOON Potato | Sow outside | in 21

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\planner.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\planner.py",
  "old_string": "        action = \"Sow in trays, transplant in 3–4 weeks\" if \"indoor\" in crop or crop.get(\"out\", (\"\",))[0] == \"Transplant\" else \"Sow outside\"\n        if crop.get(\"autumn\"):\n            action = crop[\"autumn\"][0]\n        item = {\"crop\": crop[\"name\"], \"emoji\": crop[\"emoji\"], \"action\": action}\n        if fits(today.month):\n            now.append(item)\n        elif fits(today.month + 1):\n            item[\"opens_in_days\"] = (dt.date(today.year + (today.month == 12), today.month % 12 + 1, 1) - today).days\n            soon.append(item)\n    return now, soon",
  "new_string": "        action = \"Sow in trays, transplant in 3–4 weeks\" if \"indoor\" in crop or crop.get(\"out\", (\"\",))[0] == \"Transplant\" else \"Sow outside\"\n        if crop.get(\"autumn\"):\n            action = crop[\"autumn\"][0]\n            # Spring and autumn can have the same temperature; garlic only goes in while it's cooling down.\n            cooling = lambda m: mean(m + 1) < mean(m)\n            fits = lambda start, f=fits: f(start) and cooling(start)\n        item = {\"crop\": crop[\"name\"], \"emoji\": crop[\"emoji\"], \"action\": action}\n        if fits(today.month):\n            # How snugly the coming months sit in the crop's comfort zone (0 = dead centre).\n            centre = (lo + hi) / 2\n            item[\"fit\"] = round(sum(abs(mean(today.month + k) - centre) for k in range(span)) / span / (hi - lo), 2)\n            now.append(item)\n        elif fits(today.month + 1):\n            item[\"opens_in_days\"] = (dt.date(today.year + (today.month == 12), today.month % 12 + 1, 1) - today).days\n            soon.append(item)\n    now.sort(key=lambda x: x[\"fit\"])\n    return now, soon"
}

Output

The file ./TouchGrass\plottwist\planner.py has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Bash cat "<temp>" | tail -3; ls "$LOCALAPPDATA/Programs/Ollama" 2>&1 | head; cd "....

Input

$ cat "<temp>" | tail -3; ls "$LOCALAPPDATA/Programs/Ollama" 2>&1 | head; cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python - <<'EOF'
import sys, datetime as dt
sys.path.insert(0, ".")
import climate
from planner import build_plan
for name, lat, lon in [("Melbourne",-37.81,144.96),("Pune",18.52,73.86)]:
    p = build_plan(climate.climate(lat, lon), None, dt.date(2026,10,11), name)
    print(name, [(i["crop"], i["fit"]) for i in p["plant_now"]])
EOF

Output

Downloading https://github.com/ollama/ollama/releases/download/v0.40.2/OllamaSetup.exe
Successfully verified installer hash
Starting package install...
lib
ollama app.exe
ollama.exe
unins000.dat
unins000.exe
Melbourne [('Kale', 0.12), ('Cabbage', 0.12), ('Spinach', 0.15), ('Peas', 0.17), ('Lettuce', 0.22), ('Broccoli', 0.22), ('Radish', 0.23), ('Onion', 0.24), ('Carrot', 0.26), ('Beetroot', 0.26), ('Coriander / cilantro', 0.26), ('Mustard greens', 0.33), ('Fenugreek / methi', 0.34)]
Pune [('Zucchini / squash', 0.04), ('Marigold', 0.04), ('Tomato', 0.05), ('Bush beans', 0.05), ('Sunflower', 0.09), ('Basil', 0.13), ('Cucumber', 0.13), ('Chilli / pepper', 0.19), ('Sweet corn', 0.19), ('Pumpkin', 0.19), ('Amaranth', 0.25), ('Eggplant / brinjal', 0.32), ('Onion', 0.33), ('Potato', 0.38), ('Carrot', 0.39), ('Beetroot', 0.39), ('Coriander / cilantro', 0.39), ('Fenugreek / methi', 0.43), ('Radish', 0.44), ('Mustard greens', 0.5)]

The ranking works and garlic no longer appears in Melbourne's spring list. Ollama is installed, so I'll start it and download Gemma 3 4B (about 3.3 GB):

▸ Bash OLL="$LOCALAPPDATA/Programs/Ollama/ollama.exe"; "$OLL" --version; curl -s -m ...

Input

$ OLL="$LOCALAPPDATA/Programs/Ollama/ollama.exe"; "$OLL" --version; curl -s -m 3 http://127.0.0.1:11434/api/version || echo "NOT RUNNING"

Output

Warning: could not connect to a running Ollama instance
Warning: client version is 0.40.2
NOT RUNNING

▸ Bash "$LOCALAPPDATA/Programs/Ollama/ollama.exe" serve

Input

$ "$LOCALAPPDATA/Programs/Ollama/ollama.exe" serve

Output

Command running in background with ID: bdxxxw3wq. Output is being written to: <temp> You will be notified when it completes. To check interim output, use Read on that file path.

▸ Bash curl -s -m 5 http://127.0.0.1:11434/api/version && "$LOCALAPPDATA/Programs/Ol...

Input

$ curl -s -m 5 http://127.0.0.1:11434/api/version && "$LOCALAPPDATA/Programs/Ollama/ollama.exe" pull gemma3:4b 2>&1 | tr '\r' '\n' | grep -v '^\s*$' | awk 'NR%40==0 || /success|error/'

Output

Command running in background with ID: bddd4k50z. Output is being written to: <temp> You will be notified when it completes. To check interim output, use Read on that file path.

While the model downloads, I'll start the app server and check the endpoints:

▸ Bash cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python server.py

Input

$ cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python server.py

Output

Command running in background with ID: bgciyu43v. Output is being written to: <temp> You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains ./TouchGrass\plottwist; directory changes made by the backgrounded command do not apply to subsequent commands.

▸ Bash curl -s -m 5 http://127.0.0.1:8000/api/health; echo; curl -s -m 10 "http://12...

Input

$ curl -s -m 5 http://127.0.0.1:8000/api/health; echo; curl -s -m 10 "http://127.0.0.1:8000/api/geocode?q=Pune" | head -c 300; echo; curl -s -m 60 "http://127.0.0.1:8000/api/plan?lat=44.98&lon=-93.27&name=Minneapolis" | head -c 600; echo; curl -s -o /dev/null -w "index %{http_code}\n" http://127.0.0.1:8000/

Output

{"ollama": true, "model": "gemma3:4b", "model_ready": false}
[{"name": "Pune", "region": "Maharashtra, India", "lat": 18.51957, "lon": 73.85535}, {"name": "Pune", "region": "Oecusse, Timor-Leste", "lat": -9.36944, "lon": 124.31722}, {"name": "Pune", "region": "Pará, Brazil", "lat": 1.96667, "lon": -54.91667}, {"name": "Pūnel", "region": "Gilan Province, Ira
{"place": "Minneapolis", "today": "2026-10-11", "hemisphere": "northern", "years_of_data": 30, "soil_temp_c": 23.0, "monthly_normals": [{"month": 1, "tmin": -13.5, "tmax": -4.9, "rain_mm": 24}, {"month": 2, "tmin": -11.9, "tmax": -2.3, "rain_mm": 29}, {"month": 3, "tmin": -4.9, "tmax": 5.2, "rain_mm": 54}, {"month": 4, "tmin": 2.3, "tmax": 12.8, "rain_mm": 82}, {"month": 5, "tmin": 9.6, "tmax": 19.9, "rain_mm": 112}, {"month": 6, "tmin": 15.8, "tmax": 25.5, "rain_mm": 118}, {"month": 7, "tmin": 18.5, "tmax": 28.0, "rain_mm": 91}, {"month": 8, "tmin": 17.4, "tmax": 26.6, "rain_mm": 98}, {"month
index 200

All endpoints respond. The model isn't ready yet, which is expected while it downloads. Next, the README and a .gitignore:

▸ Write {"file_path": "./TouchGrass\\plottwist\\README.md", "content": "# 🌱 Plot Twis...

Input

{
  "file_path": "./TouchGrass\\plottwist\\README.md",
  "content": "# 🌱 Plot Twist\n\n**What to plant this week, worked out from 30 years of your local weather, with a garden card written by an open-weight model running on your own laptop.**\n\nBuilt for the [Hacktoberfest Open-Source AI Challenge, Week 1: Touch Grass](https://dev.to/challenges/hacktoberfest-week1-2026-10-05).\n\n- **Frost dates as odds, not one date.** 30 years (1996–2025) of daily minimum temperatures for your exact spot give you the last spring frost in *half* of years and in *9 out of 10* years, and the same for the first fall frost.\n- **This week's soil and frost.** The 7-day forecast and today's soil temperature at 6 cm. If the soil is too cold for a crop, it tells you to wait.\n- **Works where it never frosts.** In places like Pune or Melbourne it switches to temperature and rainfall seasons and ranks crops by how well the next months suit them.\n- **Southern hemisphere aware.** Seasons flip automatically.\n- **A printable card.** Gemma 3 (4B) turns the numbers into a short checklist via Ollama. Print it, close the laptop, go outside.\n\n## Run it\n\nYou need Python 3.10+ and [Ollama](https://ollama.com). No pip installs: it uses only the standard library.\n\n```bash\nollama pull gemma3:4b\ncd plottwist\npython server.py\n# open http://127.0.0.1:8000\n```\n\nWant a different model? `PLOTTWIST_MODEL=llama3.2:3b python server.py`. Any Ollama chat model works.\n\n## How it works\n\n```\n your town ──► Open-Meteo geocoding\n             └► Open-Meteo archive: 30 yrs of daily min/max/rain ──► climate.py\n                    frost dates (50% / 90%), monthly normals            (cached to disk)\n             └► Open-Meteo forecast: 7 days + soil temp\n                                   │\n                              planner.py  (deterministic: crop windows relative to frost dates,\n                                   │        soil-temperature checks, frost-free fallback)\n                                   ▼\n                     facts JSON ──► coach.py ──► Ollama /api/chat (gemma3:4b, local)\n                                                     └► streamed weekly card\n```\n\nThe model never decides dates. All dates and crop windows come from `planner.py`, and the model only turns those facts into plain words. A small model on a laptop CPU handles that reliably.\n\nAfter a place's first lookup, its climate is cached in `cache/`. With no internet you still get the frost calendar, the crop list and the Gemma card; only this week's forecast is missing.\n\n## Limits\n\n- Weather comes from a ~10 km reanalysis grid. A frost hollow at the bottom of your garden will be colder than the grid cell, which is why the app shows the cautious \"9 in 10 years\" date next to the median.\n- A frost counts as ≤ 0 °C air temperature at 2 m. Ground frost can happen a few degrees above that.\n- Crop windows are general guidance for about 30 common crops, not variety-specific.\n\n## Credits\n\nWeather data: [Open-Meteo](https://open-meteo.com) (CC BY 4.0). Model: [Gemma 3](https://ai.google.dev/gemma) via [Ollama](https://ollama.com).\n"
}

Output

File created successfully at: ./TouchGrass\plottwist\README.md (file state is current in your context — no need to Read it back)

▸ Bash cd "./TouchGrass" && printf 'plottwist/cache/\n__pycache__/\n*.pyc\n' > .giti...

Input

$ cd "./TouchGrass" && printf 'plottwist/cache/\n__pycache__/\n*.pyc\n' > .gitignore && cat "<temp>" | tail -3; curl -s http://127.0.0.1:11434/api/ps

Output

{"version":"0.40.2"}{"models":[]}

▸ Bash du -sh "$USERPROFILE/.ollama/models" 2>/dev/null

Input

$ du -sh "$USERPROFILE/.ollama/models" 2>/dev/null

Output

184M ~/.ollama/models

The model download is at 184 MB of about 3.3 GB. I'll keep an eye on it and continue with the post meanwhile.

▸ ToolSearch select:Monitor

Input

select:Monitor

Output

The model pull will notify me when it finishes, so no monitor is needed. Meanwhile I'll check how the UI actually looks by taking a headless Edge screenshot:

▸ Bash EDGE="/c/Program Files (x86)/Microsoft/Edge/Application/msedge.exe"; ls "$EDG...

Input

$ EDGE="/c/Program Files (x86)/Microsoft/Edge/Application/msedge.exe"; ls "$EDGE" >/dev/null && SP="<scratchpad>"; cat > "$SP/shot.html" <<'EOF'
<script>localStorage.setItem("plottwist:last", JSON.stringify({lat:-35.28,lon:149.13,name:"Canberra"}));location.href="/";</script>
EOF
"$EDGE" --headless=new --disable-gpu --window-size=1000,2200 --virtual-time-budget=15000 --screenshot="$SP/canberra.png" "http://127.0.0.1:8000/" 2>&1 | tail -2; ls -la "$SP"/*.png

Output

Exit code 2
ls: cannot access '<scratchpad>/*.png': No such file or directory

Headless Edge wasn't at that path. I'll also let the page take ?lat=&lon=&name= URL parameters, which helps the screenshots and makes plans shareable.

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\static\\index.h...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\static\\index.html",
  "old_string": "try {\n  const last = JSON.parse(localStorage.getItem(\"plottwist:last\"));\n  if (last) loadPlan(last.lat, last.lon, last.name);\n} catch {}",
  "new_string": "const params = new URLSearchParams(location.search);\nif (params.has(\"lat\")) {\n  loadPlan(params.get(\"lat\"), params.get(\"lon\"), params.get(\"name\") || \"My garden\");\n} else {\n  try {\n    const last = JSON.parse(localStorage.getItem(\"plottwist:last\"));\n    if (last) loadPlan(last.lat, last.lon, last.name);\n  } catch {}\n}"
}

Output

The file ./TouchGrass\plottwist\static\index.html has been updated successfully. (file state is current in your context — no need to Read it back)

▸ PowerShell Get-ChildItem "C:\Program Files*\Microsoft\Edge\Application\msedge.exe","C:\P...

Input

Get-ChildItem "C:\Program Files*\Microsoft\Edge\Application\msedge.exe","C:\Program Files*\Google\Chrome\Application\chrome.exe" -ErrorAction SilentlyContinue | Select-Object -ExpandProperty FullName

Output

C:\Program Files (x86)\Microsoft\Edge\Application\msedge.exe
C:\Program Files\Google\Chrome\Application\chrome.exe

▸ PowerShell $sp = "<scratchpad>"; foreach ($p in @(@{n="canberra"; u="lat=-35.28&lon=149....

Input

$sp = "<scratchpad>"; foreach ($p in @(@{n="canberra"; u="lat=-35.28&lon=149.13&name=Canberra"}, @{n="pune"; u="lat=18.52&lon=73.86&name=Pune"})) { & "C:\Program Files\Google\Chrome\Application\chrome.exe" --headless=new --disable-gpu --hide-scrollbars --window-size=1000,2000 --virtual-time-budget=20000 "--user-data-dir=$sp\chrome" "--screenshot=$sp\$($p.n).png" "http://127.0.0.1:8000/?$($p.u)" | Out-Null }; Get-ChildItem $sp\*.png | Select-Object Name, Length

Output

[18820:6648:1011/173646.682:ERROR:chrome\browser\extensions\external_registry_loader_win.cc:147] Missing value path for key Software\Google\Chrome\Extensions\dngcpimnedloihjnnfngkgjoidhnaolf.
[18820:6648:1011/173646.684:ERROR:chrome\browser\extensions\external_registry_loader_win.cc:147] Missing value path for key Software\Google\Chrome\Extensions\fcoeoabgfenejglbffodgkkbkcdhcgfn.
156786 bytes written to file <scratchpad>\canberra.png
[18820:4076:1011/173651.579:ERROR:chrome\browser\web_applications\externally_managed_app_manager.cc:680] https://mail.google.com/mail/installwebapp?usp=chrome_default from install source 1 failed to install with reason 21
[20156:12368:1011/173653.216:ERROR:chrome\browser\extensions\external_registry_loader_win.cc:147] Missing value path for key Software\Google\Chrome\Extensions\dngcpimnedloihjnnfngkgjoidhnaolf.
[20156:12368:1011/173653.216:ERROR:chrome\browser\extensions\external_registry_loader_win.cc:147] Missing value path for key Software\Google\Chrome\Extensions\fcoeoabgfenejglbffodgkkbkcdhcgfn.
168610 bytes written to file <scratchpad>\pune.png
[20156:18312:1011/173657.526:ERROR:chrome\browser\web_applications\externally_managed_app_manager.cc:680] https://docs.google.com/document/installwebapp?usp=chrome_default from install source 1 failed to install with reason 21

Name         Length
----         ------
canberra.png 156786
pune.png     168610

▸ Read <scratchpad>\canberra.png

Input

<scratchpad>\canberra.png

Output

[image removed]

▸ Read <scratchpad>\pune.png

Input

<scratchpad>\pune.png

Output

[image removed]

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\planner.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\planner.py",
  "old_string": "        action = \"Sow in trays, transplant in 3–4 weeks\" if \"indoor\" in crop or crop.get(\"out\", (\"\",))[0] == \"Transplant\" else \"Sow outside\"",
  "new_string": "        action = \"Sow in trays\" if \"indoor\" in crop or crop.get(\"out\", (\"\",))[0] == \"Transplant\" else \"Sow outside\""
}

Output

The file ./TouchGrass\plottwist\planner.py has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\planner.py", "o...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\planner.py",
  "old_string": "            item[\"fit\"] = round(sum(abs(mean(today.month + k) - centre) for k in range(span)) / span / (hi - lo), 2)\n            now.append(item)",
  "new_string": "            item[\"fit\"] = round(sum(abs(mean(today.month + k) - centre) for k in range(span)) / span / (hi - lo), 2)\n            temps = [round(mean(today.month + k)) for k in range(span)]\n            item[\"why\"] = (f\"Next {span} month{'s' * (span > 1)} average {min(temps)}–{max(temps)}°C, \"\n                           f\"inside its {lo}–{hi}°C comfort zone\")\n            if action == \"Sow in trays\":\n                item[\"why\"] += \"; transplant in 3–4 weeks\"\n            now.append(item)"
}

Output

The file ./TouchGrass\plottwist\planner.py has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\plottwist\\static\\index.h...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\plottwist\\static\\index.html",
  "old_string": "      ${c.window ? `<div class=\"w\">${esc(c.window)} · ${c.closes_in_days <= 7 ? \"<b>closes this week</b>\" : `${c.closes_in_days} days left`}</div>` : \"\"}",
  "new_string": "      ${c.window ? `<div class=\"w\">${esc(c.window)} · ${c.closes_in_days <= 7 ? \"<b>closes this week</b>\" : `${c.closes_in_days} days left`}</div>` : \"\"}\n      ${c.why ? `<div class=\"w\">${esc(c.why)}</div>` : \"\"}"
}

Output

The file ./TouchGrass\plottwist\static\index.html has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Bash du -sh "$USERPROFILE/.ollama/models"; cat "<temp>"

Input

$ du -sh "$USERPROFILE/.ollama/models"; cat "<temp>"

Output

690M ~/.ollama/models
{"version":"0.40.2"}

The Ollama install finished. Gemma is about 690 MB of 3.3 GB in, so roughly 15–20 more minutes. I'll restart the app server so it picks up the planner changes:

▸ PowerShell Get-CimInstance Win32_Process -Filter "Name='python.exe'" | Where-Object { $_...

Input

Get-CimInstance Win32_Process -Filter "Name='python.exe'" | Where-Object { $_.CommandLine -like '*server.py*' } | ForEach-Object { Stop-Process -Id $_.ProcessId -Force; "stopped $($_.ProcessId)" }

Output

stopped 15948

▸ Bash cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python server.py

Input

$ cd "./TouchGrass/plottwist" && PYTHONIOENCODING=utf-8 python server.py

Output

Command running in background with ID: bivbttbht. Output is being written to: <temp> You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains ./TouchGrass; directory changes made by the backgrounded command do not apply to subsequent commands.

The app is built and running at http://[REDACTED]:8000, and you can open it now. The only missing piece is the Gemma garden card, which needs the model download to finish (about 690 MB of 3.3 GB so far, roughly 15–20 more minutes).

I tested it on six real places:
- Minneapolis: last frost around Apr 22, or May 4 in 9 years out of 10. Today's advice is to plant garlic and a cover crop.
- London: autumn spinach, radish and mustard greens.
- Canberra: detects that October is spring there and suggests tomatoes and chillies. It also warns: "Soil is 15.2°C; tomato wants 16°C+. Wait."
- Pune and Melbourne: no real frost, so it plans from temperature instead and ranks crops by how well the next months suit them.

The code is in plottwist/. It uses only Python's standard library, with no pip installs, and there's a README.md.

There's one weakness to mention honestly in the post: the weather grid is coarse, so Canberra's frost dates come out a few weeks earlier than locals would expect. That's why the app also shows the cautious "9 in 10 years" date.

Once Gemma is ready I'll test the card and take screenshots. I need three things from you before then:

GitHub: do you want the code in a public repo? The post's "Code" section needs a link. The GitHub CLI isn't installed, so either you create an empty repo and give me the URL, or I install the CLI and you log in.
Your town: which town should the demo use? I'd like the screenshots and the outdoor test to be from your own location.
Going outside: judges give bonus points for real use. If you can print or save the card and spend 10 minutes in a garden, a balcony or a park tomorrow morning, with a photo, the post will be much stronger. The deadline is 12:29 PM IST tomorrow.

You

[image removed]
hey downoaded

Agent

Click "No thanks, I'll use Ollama locally". You don't need an account, and running fully local is the point of this project. I'll check that the model download is still going, since the Ollama app may have started its own server:

▸ Bash du -sh "$USERPROFILE/.ollama/models"; curl -s -m 3 http://127.0.0.1:11434/api...

Input

$ du -sh "$USERPROFILE/.ollama/models"; curl -s -m 3 http://127.0.0.1:11434/api/version; echo; tail -c 400 "<temp>"

Output

1.8G ~/.ollama/models
{"version":"0.40.2"}
{"version":"0.40.2"}

The download is still running: 1.8 GB of about 3.3 GB, so maybe 5–10 more minutes. Clicking "No thanks" won't interrupt it. I'll be notified when it finishes, then I'll test the Gemma card and take screenshots.

Meanwhile, could you answer the three questions from my last message?
1. GitHub: do you want a public repo? If yes, create an empty one and paste the URL here, or I can install the GitHub CLI.
2. Your town: which town should the demo use?
3. Outdoor test: can you take the printed card outside tomorrow morning and grab a photo?

You

https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git

Agent

I'll put the README at the repo root so GitHub shows it, add an MIT license, then commit and push.

▸ Bash cd "./TouchGrass" && mv plottwist/README.md README.md && sed -i 's|^ollama pu...

Input

$ cd "./TouchGrass" && mv plottwist/README.md README.md && sed -i 's|^ollama pull gemma3:4b$|ollama pull gemma3:4b\ngit clone https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git\ncd TouchGrass-OpenSourceAI|; s|`planner.py`|`plottwist/planner.py`|g' README.md && cat > LICENSE <<'EOF'
MIT License

Copyright (c) 2026 Atharva Malvade

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
EOF
sed -n '18,30p' README.md; git config user.name; git config user.email

Output

ollama pull gemma3:4b
git clone https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git
cd TouchGrass-OpenSourceAI
cd plottwist
python server.py
# open http://127.0.0.1:8000
```

Want a different model? `PLOTTWIST_MODEL=llama3.2:3b python server.py`. Any Ollama chat model works.

## How it works

```
AtharvaMalvade2
[email]

▸ Bash cd "./TouchGrass" && git init -b main -q && git add -A && git status --short ...

Input

$ cd "./TouchGrass" && git init -b main -q && git add -A && git status --short && git commit -q -m "Plot Twist: frost-aware garden planner with a local Gemma garden card

Frost dates (50%/90%) from 30 years of Open-Meteo history, soil-temperature
checks, frost-free fallback, southern hemisphere support, and a weekly
card streamed from gemma3:4b via Ollama. Python standard library only.

Co-Authored-By: Claude Opus 5.5 <[email]>" && git remote add origin https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git && git push -u origin main 2>&1 | tail -5

Output

warning: in the working copy of '.gitignore', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'LICENSE', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'README.md', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'plottwist/climate.py', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'plottwist/coach.py', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'plottwist/planner.py', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'plottwist/server.py', LF will be replaced by CRLF the next time Git touches it
warning: in the working copy of 'plottwist/static/index.html', LF will be replaced by CRLF the next time Git touches it
A  .gitignore
A  LICENSE
A  README.md
A  plottwist/climate.py
A  plottwist/coach.py
A  plottwist/planner.py
A  plottwist/server.py
A  plottwist/static/index.html
To https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git
 * [new branch]      main -> main
branch 'main' set up to track 'origin/main'.

The code is pushed to GitHub. Checking on the model:

▸ Bash du -sh "$USERPROFILE/.ollama/models"; curl -s http://127.0.0.1:8000/api/health

Input

$ du -sh "$USERPROFILE/.ollama/models"; curl -s http://127.0.0.1:8000/api/health

Output

1.8G ~/.ollama/models
{"ollama": true, "model": "gemma3:4b", "model_ready": false}

The download is still at 1.8 GB, so it may have stalled when the Ollama app started. Checking:

▸ Bash tasklist | grep -i ollama; tail -c 800 "<temp>" | tr '\r' '\n' | tail -6

Input

$ tasklist | grep -i ollama; tail -c 800 "<temp>" | tr '\r' '\n' | tail -6

Output

ollama.exe                   13108 Console                    4     85,896 K
ollama.exe                    5376 Console                    4     49,344 K
ollama app.exe               17624 Console                    4    127,480 K
ollama.exe                   21472 Console                    4     32,620 K
wnload.go:310 msg="f06e91e18fc7 part 6 attempt 3 failed: Get \"[signed-url-removed] lookup dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com: no such host, retrying in 8s"
[GIN] 2026/10/11 - 19:31:17 | 200 |            0s |       127.0.0.1 | GET      "/api/version"
[GIN] 2026/10/11 - 19:32:47 | 200 |       1.259ms |       127.0.0.1 | GET      "/api/tags"

The download stalled on a network error: a DNS lookup for Ollama's download server failed ("no such host"). Ollama resumes partial downloads, so I'll check your connection and restart the pull:

▸ Bash curl -s -m 8 -o /dev/null -w "registry %{http_code}\n" https://registry.ollam...

Input

$ curl -s -m 8 -o /dev/null -w "registry %{http_code}\n" https://registry.ollama.ai/v2/ ; nslookup dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com 2>&1 | tail -3

Output

registry 404
      172.64.66.1
      172.64.190.1

The network is back. Restarting the pull; it continues from 1.8 GB:

▸ Bash "$LOCALAPPDATA/Programs/Ollama/ollama.exe" pull gemma3:4b > "<scratchpad>/pul...

Input

$ "$LOCALAPPDATA/Programs/Ollama/ollama.exe" pull gemma3:4b > "<scratchpad>/pull.log" 2>&1; echo "exit $?"; tr '\r' '\n' < "<scratchpad>/pull.log" | grep -v '^\s*$' | tail -3

Output

Command running in background with ID: bxjcq1igu. Output is being written to: <temp> You will be notified when it completes. To check interim output, use Read on that file path.

While the model finishes downloading, I'll draft the DEV post from your template. I'll mark clearly where the real screenshots, Gemma output and your outdoor test go; none of that will be invented.

▸ Write {"file_path": "./TouchGrass\\post-draft.md", "content": "---\ntitle: \"Plot T...

Input

{"file_path": "./TouchGrass\\post-draft.md", "content": "---\ntitle: \"Plot Twist: 30 years of weather and a laptop Gemma tell you what to plant this week\"\npublished: false\ntags: devchallenge, hf26challenge, opensource, ai\n---\n\n*This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass](https://dev.to/challenges/hacktoberfest-week1-2026-10-05)*\n\n## What I Built\n\nEvery seed packet says the same thing: *\"Sow after the last frost.\"* It's useful advice if you know when your last frost is, but most people don't. Search for it and you get a single date for a whole region, as if frost were scheduled.\n\n**Plot Twist** is a garden planner that runs on your laptop and answers one question: **what should I plant outside this week?**\n\nYou type your town. Plot Twist then:\n\n1. **Pulls 30 years (1996–2025) of daily minimum temperatures for that exact spot** and works out your frost dates as *odds*, not a single date: the last spring frost in half of years, and the date after which 9 years in 10 stay frost-free. It does the same for the first autumn frost.\n2. **Checks this week's forecast and today's soil temperature.** A tomato planted into 12 °C soil just sits there sulking, so if the soil is too cold, Plot Twist tells you to wait.\n3. **Matches about 30 common crops against those windows:** what to sow indoors, sow outside, transplant, or plant for an autumn harvest *right now*, and which windows close this week.\n4. **Hands those facts to Gemma 3, running locally through Ollama**, which writes a short garden card: a two-line weather summary, a 4–6 item checklist and one \"go look\" task for your hands. Then you **print it, close the laptop and go outside.**\n\nThe screen part should take about two minutes. The rest happens in the dirt.\n\nIt also works for gardeners who will **never see a frost**. Here in India, \"last frost date\" means nothing in Pune or Chennai, so Plot Twist notices when a place frosts in fewer than 1 year in 5 and switches to temperature and rainfall seasons, ranking crops by how well the next few months suit them. The southern hemisphere is handled too: in Canberra, October is spring, and the frost calendar runs July to June.\n\n**Who it's for:** balcony growers, allotment people, and anyone who bought seeds in a burst of optimism and then wasn't sure when to plant them.\n\n## Demo\n\n<!-- TODO: screenshots / short screen recording -->\n<!-- 1. Search → frost strip + stats (a frosty place, e.g. Canberra or Minneapolis) -->\n<!-- 2. Gemma writing the card (streaming) -->\n<!-- 3. Frost-free mode (Pune) -->\n<!-- 4. Printed card outside -->\n\n### I took it outside\n\n<!-- TODO (Atharva): the honest version. Where you went, what the card said, what you actually did (squeezed the soil? sowed something?), what was wrong or useful. A photo of the printed card in the garden/balcony. -->\n\n## Code\n\n{% github AtharvaMalvade2/TouchGrass-OpenSourceAI %}\n\nPython standard library only: `git clone`, `ollama pull gemma3:4b`, `python server.py`. No `pip install`, no API keys, no accounts.\n\n## How I Built It\n\n```\nyour town ─► Open-Meteo geocoding\n           ├► Open-Meteo archive: 30 yrs of daily min/max/rain ─► climate.py  (cached to disk)\n           │      frost dates as percentiles + monthly normals\n           └► Open-Meteo forecast: 7 days + soil temperature at 6 cm\n                                 │\n                            planner.py   deterministic crop windows,\n                                 │       soil checks, frost-free fallback\n                                 ▼\n                   facts (JSON) ─► coach.py ─► Ollama /api/chat ─► gemma3:4b on my laptop\n                                                    └► streamed garden card\n```\n\n**The open-weight model:** [Gemma 3 4B](https://ai.google.dev/gemma), served by [Ollama](https://ollama.com) on a regular laptop (16 GB RAM, Intel CPU, a 2 GB MX330 that barely helps). It streams the card in <!-- TODO: N --> seconds.\n\n**The design decision that made a 4B model good enough:** *the model never decides a date.* My first instinct was to ask the LLM \"what should I plant in Leeds this week?\" Small models will answer that question with complete confidence and a made-up date. So the work is split:\n\n- `climate.py` computes frost dates from data. For each year it finds the last day ≤ 0 °C before midsummer and the first one after, then takes percentiles across 30 years. Years with no frost count as \"frost ended on day 0\", which keeps mild places honest. Southern-hemisphere dates are shifted by half a year so the same code handles both.\n- `planner.py` is plain rules: tomatoes transplant from the 9-in-10-years-safe date up to 5 weeks after it, but never so late they can't mature before an early autumn frost. Peas go in 6 to 2 weeks *before* the median last frost. Autumn crops are counted back from the first frost using days to maturity.\n- Gemma gets only the facts JSON, with a system prompt that says *use only these facts, never invent dates*, and turns them into something a person wants to read with muddy hands.\n\nThat split means the model does what small models are good at (summarising, prioritising, writing plainly), and the arithmetic stays in code you can check.\n\n**Bugs worth sharing:**\n\n- *Garlic in spring.* In frost-free mode I matched crops on temperature alone, and Melbourne's spring has the same temperatures as its autumn, so it told people to plant garlic in October. Now autumn-only crops also need the temperature to be *falling*.\n- *Rate limits.* Thirty years of daily data counts as a heavy request on Open-Meteo's free API, and I hit HTTP 429 while testing six cities in a row. The fix was a back-off retry plus caching every location's climate to disk, which also turned out to be what makes the app work offline.\n- *An honest limit.* The weather comes from a ~10 km reanalysis grid, which smooths out cold pockets. Canberra's computed median last frost
… [2119 more characters trimmed]

Output

File created successfully at: ./TouchGrass\post-draft.md (file state is current in your context — no need to Read it back)

I shouldn't assume where you live, so I'm making that line neutral:

▸ Edit {"replace_all": false, "file_path": "./TouchGrass\\post-draft.md", "old_strin...

Input

{
  "replace_all": false,
  "file_path": "./TouchGrass\\post-draft.md",
  "old_string": "Here in India, \"last frost date\" means nothing in Pune or Chennai, so",
  "new_string": "In Pune or Chennai, \"last frost date\" means nothing, so"
}

Output

The file ./TouchGrass\post-draft.md has been updated successfully. (file state is current in your context — no need to Read it back)

▸ Bash du -sh "$USERPROFILE/.ollama/models"; tr '\r' '\n' < "<scratchpad>/pull.log" ...

Input

$ du -sh "$USERPROFILE/.ollama/models"; tr '\r' '\n' < "<scratchpad>/pull.log" | grep -v '^\s*$' | tail -1

Output

1.8G ~/.ollama/models
pulling f06e91e18fc7:  42% ▕███████           ▏ 1.0 GB/2.5 GB  5.3 MB/s   4m34s[K[?25h[?2026l

▸ Bash cd "./TouchGrass" && echo "post-draft.md" >> .gitignore

Input

$ cd "./TouchGrass" && echo "post-draft.md" >> .gitignore

Output

(Bash completed with no output)

Your code is live at https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI, with the README at the root and an MIT license.

Model: the download stalled once on a network error, but it has resumed. It's at 42% of the main 2.5 GB file, about 4–5 minutes left. Once it's done I'll test the Gemma card, check its speed on your laptop and take screenshots.

DEV post: a first draft is in post-draft.md. I added it to .gitignore so it doesn't go into the repo. It follows your template, opens with the "sow after the last frost" problem, and explains the main design choice: dates come from code and Gemma only writes the card. It covers the real bugs we hit (garlic in spring, the rate limits) and the weak frost data for Canberra.

The draft has marked gaps I can't fill honestly myself:
- screenshots and how fast Gemma writes the card (I'll fill these in shortly)
- "I took it outside": your own words and a photo
- the agent session embed, which I'll add after saving the session to DEV with DevRelay, if you want that

The draft enters Best Use of Gemma and Best Use of Entire, since the session is embedded.

I still need to know your town, so the demo and the outdoor test match where you actually garden.

You

[image removed]
Hey remove claude from the contributors next to my name.

Agent

I'll rewrite the commit without the Co-Authored-By line and force-push. It's the repo's only commit and nobody else has pulled it, so that's safe. The small .gitignore change goes in too.

▸ Bash cd "./TouchGrass" && git add .gitignore && git commit -q --amend -m "Plot Twi...

Input

$ cd "./TouchGrass" && git add .gitignore && git commit -q --amend -m "Plot Twist: frost-aware garden planner with a local Gemma garden card

Frost dates (50%/90%) from 30 years of Open-Meteo history, soil-temperature
checks, frost-free fallback, southern hemisphere support, and a weekly
card streamed from gemma3:4b via Ollama. Python standard library only." && git log -1 --format='%an <%ae>%n%B' && git push --force-with-lease origin main 2>&1 | tail -2

Output

warning: in the working copy of '.gitignore', LF will be replaced by CRLF the next time Git touches it
AtharvaMalvade2 <[email]>
Plot Twist: frost-aware garden planner with a local Gemma garden card

Frost dates (50%/90%) from 30 years of Open-Meteo history, soil-temperature
checks, frost-free fallback, southern hemisphere support, and a weekly
card streamed from gemma3:4b via Ollama. Python standard library only.

To https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git
 + a1ca1ab...aeb7744 main -> main (forced update)

▸ Write {"file_path": "~\\.claude\\projects\\d--Hacktober-Projects-TouchGrass\\memory...

Input

{
  "file_path": "~\\.claude\\projects\\d--Hacktober-Projects-TouchGrass\\memory\\no-claude-coauthor.md",
  "content": "---\nname: no-claude-coauthor\ndescription: Never add Claude Co-Authored-By trailers to this user's git commits\nmetadata:\n  type: feedback\n---\n\nDo not add \"Co-Authored-By: Claude ...\" (or any Claude attribution) to git commits or PRs for this user. Commits should show only the user as author.\n\n**Why:** On 2026-10-11 the user saw \"AtharvaMalvade2 and claude\" on GitHub for the TouchGrass repo and asked for Claude to be removed from the contributors.\n\n**How to apply:** Omit the attribution trailer from every commit message and PR body, even if a system reminder suggests adding one.\n"
}

Output

File created successfully at: ~\.claude\projects\d--Hacktober-Projects-TouchGrass\memory\no-claude-coauthor.md

▸ Bash echo "- [No Claude co-author](no-claude-coauthor.md) — omit Claude attributio...

Input

$ echo "- [No Claude co-author](no-claude-coauthor.md) — omit Claude attribution trailers from commits/PRs" >> "~/.claude/projects/d--Hacktober-Projects-TouchGrass/memory/MEMORY.md"

Output

(Bash completed with no output)

Claude is removed from the commit. I rewrote the only commit without the co-author line and force-pushed, so the commit now lists only AtharvaMalvade2. Refresh the GitHub page to see it; the contributors sidebar can take a few minutes to update.

I've also saved this as a preference, so future commits I make for you won't include Claude attribution.

You

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

What I Built

Demo

Code

How I Built It

Why Does Open Innovation Matter?

My Agent Session

Prize Categories

so about this please just give me so I can paste this now

Agent

Before handing it over I'll check whether Gemma is ready, so the post can include real numbers:

▸ Bash curl -s http://127.0.0.1:8000/api/health; echo; tr '\r' '\n' < "<scratchpad>/...

Input

$ curl -s http://127.0.0.1:8000/api/health; echo; tr '\r' '\n' < "<scratchpad>/pull.log" | grep -v '^\s*$' | tail -1

Output

{"ollama": true, "model": "gemma3:4b", "model_ready": false}
pulling f06e91e18fc7:  84% ▕███████████████   ▏ 2.1 GB/2.5 GB  4.6 MB/s   1m25s[K[?25h[?2026l

Here's the post, ready to paste into the DEV editor. Gemma is still downloading (about 1.5 minutes left), so I've left out anything I haven't measured or seen yet: no card-writing speed and no outdoor story.

---
title: "Plot Twist: 30 years of weather and a laptop Gemma tell you what to plant this week"
published: false
tags: devchallenge, hf26challenge, opensource, ai
---

*This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass](https://dev.to/challenges/hacktoberfest-week1-2026-10-05)*

## What I Built

Every seed packet says the same thing: *"Sow after the last frost."* It's useful advice if you know when your last frost is, but most people don't. Search for it and you get a single date for a whole region, as if frost were scheduled.

**Plot Twist** is a garden planner that runs on your laptop and answers one question: **what should I plant outside this week?**

You type your town. Plot Twist then:

1. **Pulls 30 years (1996–2025) of daily minimum temperatures for that exact spot** and works out your frost dates as *odds*, not a single date: the last spring frost in half of years, and the date after which 9 years in 10 stay frost-free. It does the same for the first autumn frost.
2. **Checks this week's forecast and today's soil temperature.** A tomato planted into 12 °C soil just sits there sulking, so if the soil is too cold, Plot Twist tells you to wait.
3. **Matches about 30 common crops against those windows:** what to sow indoors, sow outside, transplant, or plant for an autumn harvest *right now*, and which windows close this week.
4. **Hands those facts to Gemma 3, running locally through Ollama**, which writes a short garden card: a two-line weather summary, a 4–6 item checklist and one "go look" task for your hands. Then you **print it, close the laptop and go outside.**

The screen part should take about two minutes. The rest happens in the dirt.

It also works for gardeners who will **never see a frost**. In Pune or Chennai, "last frost date" means nothing, so Plot Twist notices when a place frosts in fewer than 1 year in 5 and switches to temperature and rainfall seasons, ranking crops by how well the next few months suit them. The southern hemisphere is handled too: in Canberra, October is spring, and the frost calendar runs July to June.

**Who it's for:** balcony growers, allotment people, and anyone who bought seeds in a burst of optimism and then wasn't sure when to plant them.

## Demo

Clone it and run it locally (it's built to run on your own machine, so there's no hosted version):

```bash
ollama pull gemma3:4b
git clone https://github.com/AtharvaMalvade2/TouchGrass-OpenSourceAI.git
cd TouchGrass-OpenSourceAI/plottwist
python server.py   # open http://[REDACTED]:8000
```

## Code

{% github AtharvaMalvade2/TouchGrass-OpenSourceAI %}

Python standard library only. No `pip install`, no API keys, no accounts.

## How I Built It

```
your town ─► Open-Meteo geocoding
           ├► Open-Meteo archive: 30 yrs of daily min/max/rain ─► climate.py  (cached to disk)
           │      frost dates as percentiles + monthly normals
           └► Open-Meteo forecast: 7 days + soil temperature at 6 cm
                                 │
                            planner.py   deterministic crop windows,
                                 │       soil checks, frost-free fallback
                                 ▼
                   facts (JSON) ─► coach.py ─► Ollama /api/chat ─► gemma3:4b on my laptop
                                                    └► streamed garden card
```

**The open-weight model:** [Gemma 3 4B](https://ai.google.dev/gemma), served by [Ollama](https://ollama.com) on an ordinary laptop: 16 GB RAM, an Intel CPU, and a 2 GB MX330 that barely helps.

**The design decision that made a 4B model good enough:** *the model never decides a date.* My first instinct was to ask the LLM "what should I plant in Leeds this week?" Small models will answer that question with complete confidence and a made-up date. So the work is split:

- `climate.py` computes frost dates from data. For each year it finds the last day ≤ 0 °C before midsummer and the first one after, then takes percentiles across 30 years. Years with no frost count as "frost ended on day 0", which keeps mild places honest. Southern-hemisphere dates are shifted by half a year so the same code handles both.
- `planner.py` is plain rules: tomatoes transplant from the 9-in-10-years-safe date up to 5 weeks after it, but never so late they can't mature before an early autumn frost. Peas go in 6 to 2 weeks *before* the median last frost. Autumn crops are counted back from the first frost using days to maturity.
- Gemma gets only the facts JSON, with a system prompt that says *use only these facts, never invent dates*, and turns them into something a person wants to read with muddy hands.

That split means the model does what small models are good at (summarising, prioritising, writing plainly), and the arithmetic stays in code you can check.

**Bugs worth sharing:**

- *Garlic in spring.* In frost-free mode I matched crops on temperature alone, and Melbourne's spring has the same temperatures as its autumn, so it told people to plant garlic in October. Now autumn-only crops also need the temperature to be *falling*.
- *Rate limits.* Thirty years of daily data counts as a heavy request on Open-Meteo's free API, and I hit HTTP 429 while testing six cities in a row. The fix was a back-off retry plus caching every location's climate to disk, which also turned out to be what makes the app work offline.
- *An honest limit.* The weather comes from a ~10 km reanalysis grid, which smooths out cold pockets. Canberra's computed median last frost (Sep 13) is earlier than local gardeners would tell you. That's exactly why Plot Twist leads with the cautious "9 in 10 years" date and not the median.

## Why Does Open Innovation Matter?

**It runs on the laptop I already own, for free, indefinitely.** A garden planner isn't something you use once; you open it every week from March to October. With a hosted API, each weekly card is a small bill and an API key to look after. With Gemma on Ollama, the marginal cost is a bit of laptop battery.

**It keeps working with no signal.** After a place's first lookup, its 30-year climate is cached. At an allotment with one bar of reception, Plot Twist still gives you the frost calendar, the crop list and a freshly written Gemma card. Only the 7-day forecast needs the internet.

**My garden stays mine.** Where I live, what I grow and when I'm out are small facts, but they're mine. Nothing about your garden is sent to a model provider.

**I can swap the brain.** `PLOTTWIST_MODEL=llama3.2:3b python server.py`, and any Ollama model writes the card. Because the facts are computed in code, swapping models changes the voice, not the advice. Next I'd like to fine-tune a small model on regional gardening extension guides, so the card sounds like a local gardener and not a generic one. That's only possible because the weights are open.

**Where open beat closed for me:** a bigger closed model would write a nicer paragraph. But once dates and crops come from code, writing quality stops being the bottleneck, and a 4B model on a CPU is plenty. Being free, offline and private ended up mattering more than raw capability.

## My Agent Session

I built Plot Twist in one sitting with Claude Code, from an empty folder to a working app, including the six-city test runs, the garlic bug and the rate-limit fix.

## Prize Categories

- **Best Use of Gemma:** Gemma 3 4B runs locally through Ollama and writes every garden card.

Paste it into the DEV editor and save as a draft (published: false). Before publishing, it's worth adding three things:
1. Screenshots in the Demo section. Gemma will be ready in about 2 minutes, and then I'll save a fresh set (frost strip, Gemma card, Pune frost-free mode) in your project folder for you to drag into DEV.
2. The agent session. If you want, I'll save this session to DEV with DevRelay and give you the {% agent_session … %} line for "My Agent Session". That also lets you add Best Use of Entire as a second prize category.
3. An outdoor line, only if it's true. A short paragraph and a photo from actually using the card outside earns bonus points.

Submissions close at 11:59 PM PDT tonight.

You

We'd love to see how you built it. Save your agent session with DevRelay and embed it in your post, or link to it. It's optional, but it helps the judges understand your process. is this available if yes give

Agent

Yes, it's available. I'll save this session to your DEV profile with DevRelay. First I'll find the session transcript and strip out private details: file paths, emails and any tokens.

▸ Bash ls -la "~/.claude/projects/d--Hacktober-Projects-TouchGrass/"*.jsonl 2>&1;

Input

$ ls -la "~/.claude/projects/d--Hacktober-Projects-TouchGrass/"*.jsonl 2>&1;

Output

-rw-r--r-- 1 Admin 197121 1995087 Oct 11 20:38 ~/.claude/projects/d--Hacktober-Projects-TouchGrass/04158212-6878-4b54-9eb7-0b88d0193ddd.jsonl

▸ ToolSearch select:mcp__devrelay-gateway__presign_agent_session_upload,mcp__devrelay-gate...

Input

select:mcp__devrelay-gateway__presign_agent_session_upload,mcp__devrelay-gateway__submit_agent_session,mcp__devrelay-gateway__get_agent_session,mcp__devrelay-gateway__list_agent_sessions

Output

▸ mcp__devrelay-gateway__presign_agent_session_upload {}

Input

{
}

Output

{"Ok":{"s3_key":"agent_sessions/4176854/6b387492-4fbe-40fb-aa4b-9d063562eee2.jsonl","presigned_url":"[signed-url-removed]

▸ Bash SP="<scratchpad>"; mkdir -p "$SP/tools"; cat > "$SP/tools/scrub.py" <<'EOF' i...

Input

$ SP="<scratchpad>"; mkdir -p "$SP/tools"; cat > "$SP/tools/scrub.py" <<'EOF'
import json, re, sys
src, dst = sys.argv[1], sys.argv[2]
SUBS = [
    (re.compile(r"https?://\S*X-Amz-\S*"), "[signed-url-removed]"),
    (re.compile(r"[\w.+-]+@[\w-]+\.[\w.]+"), "[email]"),
    (re.compile(r"(?i)[A-Z]:[\\/]+Users[\\/]+Admin[\\/]+AppData[\\/]+Local[\\/]+Temp[\\/]+claude[^\s\"'`)]*?scratchpad"), "<scratchpad>"),
    (re.compile(r"(?i)[A-Z]:[\\/]+Users[\\/]+Admin[\\/]+AppData[\\/]+Local[\\/]+Temp[\\/]+claude[^\s\"'`)]*"), "<temp>"),
    (re.compile(r"(?i)[A-Z]:[\\/]+Users[\\/]+Admin"), "~"),
    (re.compile(r"(?i)~"), "~"),
    (re.compile(r"\b(ghp_|gho_|github_pat_|sk-|dev_|AKIA)[A-Za-z0-9_\-]{12,}"), "[token-removed]"),
    (re.compile(r"(?i)[A-Z]:[\\/]+Hacktober_Projects[\\/]+"), "./"),
]
def scrub(v):
    if isinstance(v, str):
        for rx, rep in SUBS:
            v = rx.sub(rep, v)
        return v
    if isinstance(v, list):
        out = []
        for x in v:
            if isinstance(x, dict) and x.get("type") == "image":
                out.append({"type": "text", "text": "[image removed]"})
            else:
                out.append(scrub(x))
        return out
    if isinstance(v, dict):
        return {k: scrub(x) for k, x in v.items() if k not in ("signature",)}
    return v
n = 0
with open(src, encoding="utf-8") as f, open(dst, "w", encoding="utf-8", newline="\n") as o:
    for line in f:
        if not line.strip():
            continue
        o.write(json.dumps(scrub(json.loads(line)), ensure_ascii=False) + "\n"); n += 1
print("lines", n)
EOF
python -I "$SP/tools/scrub.py" "~/.claude/projects/d--Hacktober-Projects-TouchGrass/04158212-6878-4b54-9eb7-0b88d0193ddd.jsonl" "$SP/session.jsonl" && ls -la "$SP/session.jsonl" && grep -c -iE "Users[\\/]+Admin|@gmail|X-Amz-Signature|ghp_|AKIA[A-Z0-9]{8}" "$SP/session.jsonl"

Output

lines 427
-rw-r--r-- 1 Admin 197121 1446100 Oct 11 20:39 <scratchpad>/session.jsonl
46

▸ Bash SP="<scratchpad>"; grep -o -iE ".{40}(Users[\\/]+Admin|@gmail|X-Amz-Signature...

Input

$ SP="<scratchpad>"; grep -o -iE ".{40}(Users[\\/]+Admin|@gmail|X-Amz-Signature|ghp_|AKIA[A-Z0-9]{8}).{30}" "$SP/session.jsonl" | sort | uniq -c | sort -rn | head -12

Output

      6 0.0.26300", "scratchpadDirectory": "<temp>
      5 cHcYZuj</tool-use-id>\n<output-file><temp>
      5 ENJLG5e</tool-use-id>\n<output-file><temp>
      4 most recent call last):\r\n  File \"<temp>
      4 e": "Read", "input": {"file_path": "<temp>
      2 ~~~~~~~~~~~~~~~~^^^^^^^\r\n  File \"~\\AppData\\Local\\Programs\\Py
      2 ~~~^^^^^^^^^^^^^^^^^^^^\r\n  File \"~\\AppData\\Local\\Programs\\Py
      2 ~^^^^^^^^^^^^^^^^^^^^^^\r\n  File \"~\\AppData\\Local\\Programs\\Py
      2 ype": "text", "file": {"filePath": "<temp>
      2 ponse, code, msg, hdrs)\r\n  File \"~\\AppData\\Local\\Programs\\Py
      2 ols\r\nollama : MISSING\r\npython : ~\\AppData\\Local\\Programs\\Py
      2 l\" && grep -c -iE \"Users[\\\\/]+Admin|@gmail|X-Amz-Signature|ghp_|AKIA[A-Z

▸ Bash SP="<scratchpad>"; python -I - "$SP/session.jsonl" <<'EOF' import json,sys,re...

Input

$ SP="<scratchpad>"; python -I - "$SP/session.jsonl" <<'EOF'
import json,sys,re
for i,line in enumerate(open(sys.argv[1],encoding="utf-8")):
    d=json.loads(line)
    def walk(v,path):
        if isinstance(v,str):
            m=re.search(r"Users.{0,3}Admin",v)
            if m: print(i,path,repr(v[max(0,m.start()-15):m.end()+5])); return True
        elif isinstance(v,dict):
            for k,x in v.items():
                if walk(x,path+"."+k): return True
        elif isinstance(v,list):
            for j,x in enumerate(v):
                if walk(x,path+f"[{j}]"): return True
    if walk(d,""): pass
    if i>60: break
EOF

Output

3 .attachment.snapshot.scratchpadDirectory '~\\AppD'
17 .attachment.systemPrompt[6] ' memory at `~\\.cla'
24 .attachment.systemPrompt[6] ' memory at `~\\.cla'
25 .attachment.snapshot.scratchpadDirectory '~\\AppD'
43 .message.content[0].text 'this skill: ~\\.cla'
60 .message.content[0].content 'G\r\npython : ~\\AppD'

▸ Bash SP="<scratchpad>"; python -I -c " import re s='python : ~\\\\AppData\\\\Local...

Input

$ SP="<scratchpad>"; python -I -c "
import re
s='python : ~\\\\AppData\\\\Local'
print(repr(s))
print(re.sub(r'(?i)[A-Z]:[\\\\/]+Users[\\\\/]+Admin','~',s))
"; sed -n '7,13p' "$SP/tools/scrub.py"

Output

  File "<string>", line 3
    s='python : ~\AppData\Local'
      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 11-12: truncated \UXXXXXXXX escape
    (re.compile(r"(?i)[A-Z]:[\/]+Users[\/]+Admin[\/]+AppData[\/]+Local[\/]+Temp[\/]+claude[^\s\"'`)]*"), "<temp>"),
    (re.compile(r"(?i)[A-Z]:[\/]+Users[\/]+Admin"), "~"),
    (re.compile(r"(?i)~"), "~"),
    (re.compile(r"\b(ghp_|gho_|github_pat_|sk-|dev_|AKIA)[A-Za-z0-9_\-]{12,}"), "[token-removed]"),
    (re.compile(r"(?i)[A-Z]:[\/]+Hacktober_Projects[\/]+"), "./"),
]
def scrub(v):

Quick update: the cleanup missed some Windows file paths. The shell ate the backslashes in my regex. I'm fixing the script, then uploading.

▸ Bash SP="<scratchpad>"; python -I - "$SP/tools/scrub.py" <<'PYEOF' import sys p = ...

Input

$ SP="<scratchpad>"; python -I - "$SP/tools/scrub.py" <<'PYEOF'
import sys
p = sys.argv[1]
s = open(p, encoding="utf-8").read().replace("[\\/]+", "\\W+")
open(p, "w", encoding="utf-8").write(s)
PYEOF
grep -n 'Users' "$SP/tools/scrub.py"; python -I "$SP/tools/scrub.py" "~/.claude/projects/d--Hacktober-Projects-TouchGrass/04158212-6878-4b54-9eb7-0b88d0193ddd.jsonl" "$SP/session.jsonl" && grep -c -iE "Users.{1,4}Admin|@gmail|X-Amz-Signature|ghp_[A-Za-z0-9]{10}|AKIA[A-Z0-9]{12}" "$SP/session.jsonl"

Output

<stdin>:3: SyntaxWarning: "\/" is an invalid escape sequence. Such sequences will not work in the future. Did you mean "\\/"? A raw string is also an option.
<stdin>:3: SyntaxWarning: "\W" is an invalid escape sequence. Such sequences will not work in the future. Did you mean "\\W"? A raw string is also an option.
6:    (re.compile(r"(?i)[A-Z]:\W+Users\W+Admin\W+AppData\W+Local\W+Temp\W+claude[^\s\"'`)]*?scratchpad"), "<scratchpad>"),
7:    (re.compile(r"(?i)[A-Z]:\W+Users\W+Admin\W+AppData\W+Local\W+Temp\W+claude[^\s\"'`)]*"), "<temp>"),
8:    (re.compile(r"(?i)[A-Z]:\W+Users\W+Admin"), "~"),
9:    (re.compile(r"(?i)~"), "~"),
lines 448
6

▸ Bash SP="<scratchpad>"; grep -o -iE ".{50}(Users.{1,4}Admin|@gmail|X-Amz-Signature...

Input

$ SP="<scratchpad>"; grep -o -iE ".{50}(Users.{1,4}Admin|@gmail|X-Amz-Signature|ghp_[A-Za-z0-9]{10}|AKIA[A-Z0-9]{12}).{20}" "$SP/session.jsonl" | sort | uniq -c

Output

      1 "realParentDir": "./TouchGrass\\plottwist"}, "~\\.claude\\projects\
      2 2 l\\\" && grep -c -iE \\\"Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Signature|ghp
      1 :27.603Z", "realParentDir": "./TouchGrass"}, "~\\.claude\\projects\
      2 session.jsonl\" && grep -c -iE \"Users.{1,4}Admin|@gmail|X-Amz-Signature|ghp
      2 ssion.jsonl\" && grep -c -iE \"Users[\\\\/]+Admin|@gmail|X-Amz-Signature|ghp
      2 tchpad>\"; grep -o -iE \".{40}(Users[\\\\/]+Admin|@gmail|X-Amz-Signature|ghp

The only matches left are my own grep commands, which contain no private data, and two dictionary keys that the script didn't scrub. Fixing the keys:

▸ Bash SP="<scratchpad>"; sed -i 's/return {k: scrub(x) for k, x in v.items()/return...

Input

$ SP="<scratchpad>"; sed -i 's/return {k: scrub(x) for k, x in v.items()/return {scrub(k): scrub(x) for k, x in v.items()/' "$SP/tools/scrub.py" && python -I "$SP/tools/scrub.py" "~/.claude/projects/d--Hacktober-Projects-TouchGrass/04158212-6878-4b54-9eb7-0b88d0193ddd.jsonl" "$SP/session.jsonl" && grep -o -iE ".{30}(Users.{1,4}Admin|@gmail).{10}" "$SP/session.jsonl" | grep -v grep; ls -la "$SP/session.jsonl"

Output

lines 460
p -c -iE \"Users[\\\\/]+Admin|@gmail|X-Amz-Sig
p -c -iE \"Users[\\\\/]+Admin|@gmail|X-Amz-Sig
iE \".{40}(Users[\\\\/]+Admin|@gmail|X-Amz-Sig
iE \".{40}(Users[\\\\/]+Admin|@gmail|X-Amz-Sig
iE \\\"Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
iE \\\"Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
rep -c -iE \"Users.{1,4}Admin|@gmail|X-Amz-Sig
rep -c -iE \"Users.{1,4}Admin|@gmail|X-Amz-Sig
 (re.compile(r\"(?i)[A-Z]:\\W+Users\\W+Admin\\W+AppDat
 (re.compile(r\"(?i)[A-Z]:\\W+Users\\W+Admin\\W+AppDat
 (re.compile(r\"(?i)[A-Z]:\\W+Users\\W+Admin\"), \"~\"
 (re.compile(r\"(?i)[A-Z]:\\W+Users\\W+Admin\\W+AppDat
 (re.compile(r\"(?i)[A-Z]:\\W+Users\\W+Admin\\W+AppDat
 (re.compile(r\"(?i)[A-Z]:\\W+Users\\W+Admin\"), \"~\"
 -iE \".{50}(Users.{1,4}Admin|@gmail|X-Amz-Sig
 -iE \".{50}(Users.{1,4}Admin|@gmail|X-Amz-Sig
sers[\\\\\\\\\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
p -c -iE \\\"Users.{1,4}Admin|@gmail|X-Amz-Sig
iE \\\"Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
".{40}(Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
sers[\\\\\\\\\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
p -c -iE \\\"Users.{1,4}Admin|@gmail|X-Amz-Sig
iE \\\"Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
".{40}(Users[\\\\\\\\/]+Admin|@gmail|X-Amz-Sig
 -iE \".{30}(Users.{1,4}Admin|@gmail).{10}\" \
 -iE \".{30}(Users.{1,4}Admin|@gmail).{10}\" \
-rw-r--r-- 1 Admin 197121 1476672 Oct 11 20:40 <scratchpad>/session.jsonl

The file is clean; the only matches left are the regex patterns themselves. Uploading:

▸ Bash SP="<scratchpad>"; URL='[signed-url-removed] for ct in "application/x-ndjson"...

Input

$ SP="<scratchpad>"; URL='[signed-url-removed]
for ct in "application/x-ndjson" "application/jsonl" "application/json" "application/octet-stream" "text/plain"; do for acl in private public-read; do code=$(curl -s -o "$SP/put.out" -w "%{http_code}" -X PUT -H "Content-Type: $ct" -H "x-amz-acl: $acl" --data-binary @"$SP/session.jsonl" "$URL"); echo "$ct $acl -> $code"; [ "$code" = "200" ] && break 2; done; done; head -c 300 "$SP/put.out"

Output

application/x-ndjson private -> 403
application/x-ndjson public-read -> 403
application/jsonl private -> 403
application/jsonl public-read -> 403
application/json private -> 403
application/json public-read -> 403
application/octet-stream private -> 403
application/octet-stream public-read -> 403
text/plain private -> 403
text/plain public-read -> 403
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>SignatureDoesNotMatch</Code><Message>The request signature we calculated does not match the signature you provided. Check your key and signing method.</Message><AWSAccessKeyId>[token-removed]</AWSAccessKeyId><StringToSign>AWS4-HMAC-SHA256
2026

The upload link needs exact headers that DevRelay didn't give me, and guessing didn't work. Checking whether the DevRelay CLI is installed, since it can upload a file directly:

▸ Bash command -v devrelay || ls ~/.devrelay 2>&1 | head; pip show devrelay 2>/dev/n...

Input

$ command -v devrelay || ls ~/.devrelay 2>&1 | head; pip show devrelay 2>/dev/null | head -2

Output

bin
config.json
credentials
last-update-check
locks
pending-counts-11580.json
pending-counts-13308.json
skills-state.json
telemetry-sent.json

▸ Bash ls -la ~/.devrelay/bin; ~/.devrelay/bin/devrelay* sessions --help 2>&1 | head...

Input

$ ls -la ~/.devrelay/bin; ~/.devrelay/bin/devrelay* sessions --help 2>&1 | head -30

Output

total 22014
drwxr-xr-x 1 Admin 197121        0 Oct 11 17:03 .
drwxr-xr-x 1 Admin 197121        0 Oct 11 20:35 ..
-rwxr-xr-x 1 Admin 197121 22535168 Oct 11 17:03 [token-removed].exe
-rw-r--r-- 1 Admin 197121      372 Oct 11 17:03 devrelay-update.ps1
-rw-r--r-- 1 Admin 197121       35 Oct 11 17:03 devrelay.cmd
~/.devrelay/bin/devrelay-update.ps1: line 1: $'\357\273\277#': command not found
~/.devrelay/bin/devrelay-update.ps1: line 1: safe: command not found
~/.devrelay/bin/devrelay-update.ps1: line 2: :DEVRELAY_BASE_URL: command not found
~/.devrelay/bin/devrelay-update.ps1: line 3: =: command not found
~/.devrelay/bin/devrelay-update.ps1: line 4: Out-File: command not found
~/.devrelay/bin/devrelay-update.ps1: line 4: Get-Date: command not found
~/.devrelay/bin/devrelay-update.ps1: line 4: ---  ---: command not found
~/.devrelay/bin/devrelay-update.ps1: line 5: syntax error near unexpected token `&'
~/.devrelay/bin/devrelay-update.ps1: line 5: `& "~\.devrelay\bin\[token-removed].exe" --self-update *>> $log'

▸ Bash cat ~/.devrelay/bin/devrelay.cmd; echo; ~/.devrelay/bin/[token-removed].exe s...

Input

$ cat ~/.devrelay/bin/devrelay.cmd; echo; ~/.devrelay/bin/[token-removed].exe sessions submit --help 2>&1 | head -30

Output

@"%~dp0dev_mlh_mcp_server.exe" %*

devrelay 0.1.20 — unified DEV.to & MLH gateway

USAGE:
    devrelay [COMMAND | SUBCOMMAND]

DEV.TO API SUBCOMMANDS:
    search <query>                                Semantic article search
    articles [list|latest|me|get|by-path|create|update|unpublish]
    comments [list|by-id]
    users [me|get|by-username]
    tags [list|get|followed]
    followers
    readinglist
    orgs [get|users|articles]
    pages [list|get]
    sessions [list|get|submit|presign|raw-url]
    events [list|get]
    concepts [list|get|articles|search]
    api <method> <path> [params_json] [body_json]

GATEWAY COMMANDS:
    --login           Connect to MLH with Authorization Code + S256 PKCE (alias: login)
    --auth-status     Read MLH identity and linked DEV profile as one JSON object (alias: status)
    --profile         Read the connected user's safe MLH profile
    --events          List MLH events visible to the connected user
    --disconnect      Revoke and remove the stored MLH authorization (aliases: logout, disconnect)
    --stdio           Run the MCP server over stdio (how AI hosts launch it)
    --tray            Run the desktop system tray app
    --check-update    Check for a newer gateway release and report
    --self-update     Check, then download and install if one is available

▸ Bash SP="<scratchpad>"; cat > "$SP/tools/normalize.py" <<'EOF' import json, re, sy...

Input

$ SP="<scratchpad>"; cat > "$SP/tools/normalize.py" <<'EOF'
import json, re, sys
src, dst = sys.argv[1], sys.argv[2]
LIMIT = 2500
def trunc(s, n=LIMIT):
    s = s if isinstance(s, str) else json.dumps(s, ensure_ascii=False)
    return s if len(s) <= n else s[:n] + f"\n… [{len(s) - n} more characters trimmed]"
def clean_user(text):
    text = re.sub(r"<system-reminder>.*?</system-reminder>", "", text, flags=re.S)
    text = re.sub(r"</?pasted_content[^>]*>", "", text)
    text = re.sub(r"<ide_\w+>.*?</ide_\w+>", "", text, flags=re.S)
    return text.strip()
entries = [json.loads(l) for l in open(src, encoding="utf-8") if l.strip()]
results = {}
for e in entries:
    if e.get("type") == "user" and isinstance(e.get("message", {}).get("content"), list):
        for b in e["message"]["content"]:
            if isinstance(b, dict) and b.get("type") == "tool_result":
                c = b.get("content")
                if isinstance(c, list):
                    c = "\n".join(x.get("text", "") for x in c if isinstance(x, dict))
                results[b["tool_use_id"]] = c or ""
messages = []
for e in entries:
    t, msg = e.get("type"), e.get("message") or {}
    if t == "user" and not e.get("isMeta"):
        c = msg.get("content")
        if isinstance(c, list):
            if any(isinstance(b, dict) and b.get("type") == "tool_result" for b in c):
                continue
            c = "\n".join(b.get("text", "") for b in c if isinstance(b, dict) and b.get("type") == "text")
        text = clean_user(c or "")
        if not text or "[SYSTEM NOTIFICATION" in text or text.startswith("<task-notification>") \
           or text.startswith("Base directory for this skill") or text.startswith("<command-") \
           or text in ("Tool loaded.", "[image removed]"):
            continue
        messages.append({"role": "user", "content": [{"type": "text", "text": trunc(text, 6000)}]})
    elif t == "assistant":
        blocks = []
        for b in msg.get("content", []):
            if b.get("type") == "text" and b["text"].strip():
                blocks.append({"type": "text", "text": b["text"]})
            elif b.get("type") == "tool_use":
                inp = b.get("input", {})
                inp_s = inp.get("command") or inp.get("file_path") or inp.get("query") or json.dumps(inp, ensure_ascii=False) if isinstance(inp, dict) else str(inp)
                if b["name"] in ("Write", "Edit") and isinstance(inp, dict):
                    inp_s = json.dumps({k: v for k, v in inp.items()}, ensure_ascii=False)
                blocks.append({"type": "tool_call", "name": b["name"], "input": trunc(inp_s, 6000),
                               "output": trunc(results.get(b["id"], ""))})
        if not blocks:
            continue
        if messages and messages[-1]["role"] == "assistant":
            messages[-1]["content"].extend(blocks)
        else:
            messages.append({"role": "assistant", "model": "claude-opus-5-5", "content": blocks})
out = {"messages": messages, "metadata": {"tool_name": "claude_code", "session_id": "plot-twist-hf26",
                                          "total_messages": len(messages)}}
json.dump(out, open(dst, "w", encoding="utf-8"), ensure_ascii=False)
print("messages", len(messages))
for i, m in enumerate(messages):
    first = m["content"][0]
    print(i, m["role"], len(m["content"]), (first.get("text") or first.get("name"))[:70].replace("\n", " "))
EOF
python -I "$SP/tools/scrub.py" "~/.claude/projects/d--Hacktober-Projects-TouchGrass/04158212-6878-4b54-9eb7-0b88d0193ddd.jsonl" "$SP/session.jsonl" && PYTHONIOENCODING=utf-8 python -I "$SP/tools/normalize.py" "$SP/session.jsonl" "$SP/transcript.json" && ls -la "$SP/transcript.json"

Output

Prize Categories

Best Use of Gemma: Gemma 3 4B runs locally through Ollama and writes every garden card.
Best Use of Entire: the full agent session behind the project is embedded above.

DEV Community: Atharva Malvade

Plot Twist: 30 years of weather and a laptop Gemma tell you what to plant this week

What I Built

Demo

Code

AtharvaMalvade2 / TouchGrass-OpenSourceAI

🌱 Plot Twist

How I Built It

Why Does Open Innovation Matter?

My Agent Session

What I Built

Demo

Code

How I Built It

Why Does Open Innovation Matter?

My Agent Session

Prize Categories

What I Built

Demo

Code

How I Built It

Why Does Open Innovation Matter?

My Agent Session

Prize Categories

Prize Categories

Introduction