LaunchCtrl

Step-by-step prompts for building this MVP:

1. Summarize the following context in no more than 120 words: Contractors need a reliable mobile app to upload and organize project photos by jobsite, generate and manage punch lists and change‐order forms, and allow office staff to view updates in real time. The target market includes construction companies, contractors, field service operators, and project managers. The chosen MVP is a cross‐platform mobile client and a simple web dashboard to snap and auto‐tag project photos by jobsite with optional geolocation and sync all data in real time. Respond 'Ready' if you understand and will wait for detailed tasks.
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2. Initialize a new Git repository for a minimal Python 3.11 + FastAPI + SQLite project. Provide the exact shell commands to create and activate a venv, install FastAPI and Uvicorn, create requirements.txt, generate app/main.py and a .gitignore, and commit the initial files. List the expected file structure and show the uvicorn run command to start the server.
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3. Create a single SQLite database file data.db and write a Python script setup_db.py that uses sqlite3 to create two tables: jobsites (id INTEGER PRIMARY KEY, name TEXT NOT NULL, latitude REAL, longitude REAL) and photos (id INTEGER PRIMARY KEY, jobsite_id INTEGER NOT NULL REFERENCES jobsites(id), filename TEXT NOT NULL, timestamp DATETIME DEFAULT CURRENT_TIMESTAMP). In setup_db.py insert one sample jobsite record. Show the content of setup_db.py and the command to execute it.
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4. Implement exactly three backend endpoints in FastAPI: POST /jobsites to create a new jobsite, GET /jobsites to list all jobsites, POST /photos to upload a photo file with a jobsite_id, and GET /photos?jobsite_id= to list photos by jobsite. Include clear validation and error handling (e.g. reject missing fields or non‐existent jobsite_id), show the FastAPI route functions, provide curl examples for each endpoint with expected JSON responses, and include pytest stubs for unit tests for each route in tests/test_api.py.
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5. Add a minimal server-rendered HTML UI: write a Jinja2 template index.html with a form that loads all jobsites in a dropdown and accepts an image file, then submits via POST /photos. Implement the FastAPI GET / endpoint that renders index.html with the jobsites list. Keep HTML plain, no CSS frameworks. Show the template code and the updated main.py route for rendering.
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6. Write pytest automated tests: one unit test for POST /jobsites, one for GET /jobsites, one for POST /photos, one for GET /photos, plus one happy‐path integration test that creates a jobsite, uploads a photo to it, and verifies it appears in the photo list. Place tests in tests/test_api.py. Provide the command to run pytest and show the expected passing summary line.
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7. Provide local run instructions: commands to activate the virtual environment, install requirements, run setup_db.py to seed data, start the server with uvicorn app.main:app --reload, and test the flow via curl or the HTML form. Then include a short acceptance checklist of 3–5 bullet points verifying that jobsites can be created, photos can be uploaded and listed, and the UI form works locally.
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