From dc74d919b07379d0cdc013427f79415c811c7848 Mon Sep 17 00:00:00 2001 From: dhanesh Date: Wed, 22 Jul 2026 22:08:31 +0530 Subject: [PATCH 1/7] chore: scaffold spec for crime analysis agent --- spec/agent.md | 234 +++--------------------- spec/api.md | 63 ++++--- spec/architecture.md | 78 +++----- spec/capabilities/analyze_crime_data.md | 22 +++ spec/capabilities/index.md | 39 +--- spec/data.md | 53 +++--- spec/roadmap.md | 74 ++++---- spec/ui.md | 42 ++--- 8 files changed, 183 insertions(+), 422 deletions(-) create mode 100644 spec/capabilities/analyze_crime_data.md diff --git a/spec/agent.md b/spec/agent.md index 49f33fa..c9febcb 100644 --- a/spec/agent.md +++ b/spec/agent.md @@ -1,218 +1,32 @@ -# Agent +# Agent Graph -> Required when the project uses an agent framework. Delete this file if your project has no agent framework. -> -> If your project has no agent framework (e.g., a simple script or single-LLM API call), delete this file. -> +## Pattern: ReAct / Plan-and-Execute ---- +The agent operates on a ReAct (Reason + Act) loop augmented for data analysis. -## Agent Architecture Pattern +## State +The graph state (`GraphState`) includes: +- `session_id`: Current session identifier. +- `chat_history`: Conversation history. +- `user_query`: The latest query. +- `csv_schemas`: Extracted column info. +- `intermediate_results`: Data aggregation results. +- `final_response`: The structured dashboard payload. - +## Nodes -| Pattern | Use when | -|---------|----------| -| **Single-agent loop** | One LLM drives a deterministic tool-call loop. No branches, no handoffs. | -| **Graph (LangGraph)** | Multi-step pipeline with conditional edges, checkpointing, or parallel nodes. | -| **Multi-agent** | Specialised sub-agents with distinct roles; orchestrator routes between them. | -| **Supervisor** | One supervisor LLM dispatches to worker agents based on task type. | -| **Human-in-the-loop** | Execution pauses at defined checkpoints for user review or approval. | +1. **`parse_intent`**: LLM interprets the user query against the `csv_schemas`. It decides what aggregations/group-bys are needed. +2. **`execute_pandas`**: (Tool Node) A controlled execution environment where `pandas` operations are run on the uploaded CSV data based on the LLM's instructions. +3. **`synthesize_dashboard`**: LLM takes the raw `intermediate_results` and formats them into a structured JSON response (Summary, Findings, Charts Data, Recommendations). -**Chosen:** +## Edges +- Entry -> `parse_intent` +- `parse_intent` -> `execute_pandas` (if data fetch is needed) +- `execute_pandas` -> `synthesize_dashboard` +- `synthesize_dashboard` -> END ---- +## Error Handling +If `execute_pandas` fails (e.g., column not found), it returns the error back to `parse_intent` to retry up to 2 times before falling back to a graceful error message in `synthesize_dashboard`. -## LLM Provider & Model - - - -| Agent / Node | Provider | Model ID | Rationale | -|-------------|----------|----------|-----------| -| | Anthropic | | | - -**Fallback behaviour:** - -**Prompt strategy:** - ---- - -## Tools & Tool Calling - - - -| Tool name | Description | Inputs | Output | Side-effects | -|-----------|-------------|--------|--------|--------------| -| | | | | | - -**Tool selection strategy:** - -**Tool failure handling:** - ---- - -## Agent State - - - -```python -class AgentState(TypedDict): - # Identity - run_id: int # set at initialisation - - # Input - # ... # fields populated from the trigger - - # Pipeline data (populated progressively by nodes) - # ... - - # Output - # ... # final result fields - - # Control - error: str | None # set by any node on fatal failure - checkpoint: str | None # last completed node (for resume) -``` - ---- - -## Nodes / Steps - - - -### `node_[name]` - -**Reads from state:** - -**Writes to state:** - -**LLM call:** - -**External calls:** - -| System | Operation | On Failure | -|--------|-----------|------------| -| | | | - -**Behaviour:** - ---- - -## Graph / Flow Topology - - - -``` -START - │ - ▼ -node_a ──(error)──► node_handle_error ──► END - │ - ▼ -node_b ──(condition)──► node_c - │ │ - │ ▼ - └──────────────────► node_finalize - │ - ▼ - END -``` - -**Conditional edges:** - -| Source node | Condition | Target | -|-------------|-----------|--------| -| | | | - ---- - -## Memory & Context - - - -| Scope | Mechanism | What is stored | -|-------|-----------|----------------| -| **Within a run** | LangGraph state | All in-progress data | -| **Across runs** | | | -| **Conversation** | | | - -**Context window management:** - ---- - -## Human-in-the-Loop Checkpoints - - - -| Checkpoint | What is shown to the user | Expected user action | Timeout / default | -|------------|--------------------------|----------------------|-------------------| -| | | | | - ---- - -## Error Handling & Recovery - - - -**Node-level:** - -**Graph-level (handle_error node):** -- Reads: `state.error`, `state.run_id` -- Updates DB: run status → "failed", `error_message`, `completed_at` -- Logs error with `run_id` context -- Terminates graph - -**Resume / retry strategy:** - -**Partial failure:** - ---- - -## Observability - - - -| Signal | What | Where | -|--------|------|-------| -| **Trace** | One trace per run, one span per node | | -| **LLM calls** | Prompt tokens, completion tokens, latency, model | | -| **Tool calls** | Tool name, inputs, success/error, latency | Structured log | -| **Run outcome** | Status, total duration, error if any | DB + structured log | - ---- - -## Concurrency Model - - - -- **Run isolation:** -- **Parallel nodes within a run:** -- **Checkpointing:** - ---- - -## Graph Assembly (`agent/graph.py`) - - - -```python -graph = StateGraph(AgentState) - -graph.add_node("node_a", node_a) -graph.add_node("node_b", node_b) -graph.add_node("finalize", node_finalize) -graph.add_node("handle_error", node_handle_error) - -graph.set_entry_point("node_a") - -graph.add_conditional_edges( - "node_a", - lambda s: "handle_error" if s.get("error") else "node_b", -) - -graph.add_edge("node_b", "finalize") -graph.add_edge("finalize", END) -graph.add_edge("handle_error", END) - -compiled_graph = graph.compile() -``` +## Concurrency +Isolated by `session_id`. Each request processes its own in-memory data copies. diff --git a/spec/api.md b/spec/api.md index 442a58b..900466e 100644 --- a/spec/api.md +++ b/spec/api.md @@ -1,41 +1,48 @@ -# API +# API Contract -> Fill in this section — see comments below. - ---- - -## API Style - - - -## Endpoints / Commands - - - -### `` - -**Purpose:** +## POST /upload +**Request:** `multipart/form-data` with multiple `file` fields (CSVs). +**Response:** +```json +{ + "session_id": "uuid", + "files_processed": 2, + "schemas": { + "file1.csv": ["Date", "Crime_Type", "District"], + "file2.csv": ["District", "Officer_Count"] + } +} +``` +## POST /analyze **Request:** ```json { - "": "" + "session_id": "uuid", + "query": "Which district has the highest crime rate?" } ``` - **Response:** ```json { - "": "" + "summary": "District 9 has the highest crime rate, primarily driven by property crimes.", + "findings": ["District 9 accounts for 24% of all incidents.", "Theft is up 12% YoY."], + "charts": [ + { + "type": "bar", + "title": "Crime by District", + "labels": ["Dist 9", "Dist 2"], + "datasets": [{"label": "Total Incidents", "data": [1400, 800]}] + } + ], + "recommendations": ["Reallocate patrol units to District 9 between 8 PM and 2 AM."] } ``` -**Error cases:** -| Status | Condition | -|--------|-----------| -| 400 | | -| 500 | | - -## Authentication - - +## GET /health +**Response:** +```json +{ + "status": "ok" +} +``` diff --git a/spec/architecture.md b/spec/architecture.md index e5e3bd9..d8799cd 100644 --- a/spec/architecture.md +++ b/spec/architecture.md @@ -1,68 +1,34 @@ # Architecture -> Fill in this section — see comments below. - ---- - ## System Overview - - -## Component Map - - - -``` -[Component A] - ↓ -[Component B] ←→ [External Service] - ↓ -[Component C] -``` - -## Layers - - - -| Layer | Responsibility | -|-------|----------------| -| | | - -## Data Flow - - - -1. Trigger: -2. -3. -4. Output: - -## External Dependencies - - - -| Dependency | Purpose | Failure Mode | -|------------|---------|--------------| -| | | | +The Crime Statistics Analysis Agent is a full-stack application built around a specialized data-analysis agent graph. ## Stack -> This project's concrete technology choices (captured at intake, filled by the spec-writer). The generic, every-project rules — model-naming, DB driver, dev port, test environment — live in `harness/patterns/tech-stack.md`; this section is only what **this** project picked. +- **Backend:** Python 3.11+, FastAPI (REST endpoints), LangGraph (Agent orchestration). +- **Frontend:** React via Vite with Vanilla CSS (Professional blue/white police dashboard theme). +- **Data Processing:** `pandas` for fast in-memory CSV operations (merging, cleaning, aggregating). +- **Database:** SQLite (local metadata, session, and conversation history storage). +- **LLM:** Gemini 1.5 (via `google-generativeai` or `langchain-google-genai`). +- **Observability:** `structlog` for structured request/response logging. -- **Language:** -- **Agent framework:** -- **LLM provider + model:** -- **Backend:** -- **Database + ORM:** -- **Frontend:** -- **Dependency management:** +## Components & Data Flow -| Key library | Version | Purpose | -|-------------|---------|---------| -| | | | +1. **Frontend (Vite/React):** + - Provides a drag-and-drop interface for CSV uploads. + - Posts files to `/upload` API endpoint. + - Provides a chat interface to post user queries to `/analyze` endpoint. + - Renders structured dashboards (Executive Summary, Findings, Line/Bar Charts) from the API response. -**Avoid:** +2. **Backend (FastAPI):** + - `/upload` endpoint parses CSVs, stores them temporarily (in-memory or temp disk), and extracts schemas. + - `/analyze` endpoint takes a session ID and a user query, invoking the LangGraph agent. -## Deployment Model +3. **Agent (LangGraph):** + - The graph orchestrates the reasoning. + - The agent reads the user's query and the data schemas, determines the necessary Pandas aggregations, and generates Python code to query the data. + - It executes the Pandas code safely (or uses predefined aggregation tools) and synthesizes the results into a structured JSON dashboard payload. - +4. **Database (SQLite):** + - Stores session mappings, conversational history, and pointers to temporary files. diff --git a/spec/capabilities/analyze_crime_data.md b/spec/capabilities/analyze_crime_data.md new file mode 100644 index 0000000..ddeb896 --- /dev/null +++ b/spec/capabilities/analyze_crime_data.md @@ -0,0 +1,22 @@ +# Capability: Analyze Crime Data +## What It Does +Accepts a natural language query regarding uploaded crime CSV datasets and returns a structured analysis including summaries, charts, and recommendations based on Pandas aggregations. +## Inputs +| Input | Type | Source | Required | +|---|---|---|---| +| session_id | string | API Request | Yes | +| query | string | API Request | Yes | +## Outputs +| Output | Type | Destination | +|---|---|---| +| structured_dashboard | JSON | API Response | +## External Calls +| System | Operation | On Failure | +|---|---|---| +| Gemini LLM | Intent Parsing / Pandas Gen | Retry 2x, then return error message | +| Gemini LLM | Synthesis | Return raw data error | +## Business Rules +- Must dynamically inspect CSV schemas attached to the session. +- Cannot delete or modify CSV files during analysis (read-only Pandas ops). +## Success Criteria +- [ ] Querying "highest crime district" generates Pandas code that groups by district, sorts, and correctly synthesizes the top result. diff --git a/spec/capabilities/index.md b/spec/capabilities/index.md index 7455bda..6f07205 100644 --- a/spec/capabilities/index.md +++ b/spec/capabilities/index.md @@ -1,38 +1 @@ -# Capabilities Index - -> **Boilerplate status:** The spec-writer sub-agent creates one file per capability in this directory. Each file describes exactly one discrete thing the agent can do. - ---- - -## What Is a Capability? - -A capability is a single, discrete action or behavior the agent performs. Examples: -- "Search the web for companies matching criteria X" -- "Draft a personalized email given a lead profile" -- "Send a Slack notification when a threshold is crossed" - -## Capabilities in This Project - - - -| Capability | File | -|-----------|------| -| | [name.md](name.md) | - -## How to Add a New Capability - -Run `/zero-shot-build [description]` on the existing spec. The spec-writer sub-agent will: -1. Create a new file in this directory (`.md`, no number prefix) -2. Update this index -3. Flag any dependencies on existing capabilities -4. Self-review that it fits the architecture and data model before returning - -## Capability File Template - -Each capability file should answer: -- **What it does** (one sentence) -- **Inputs** (what data it receives) -- **Outputs** (what it produces) -- **External calls** (APIs, LLMs, databases it touches) -- **Error cases** (what can go wrong and how it's handled) -- **Success criteria** (how we test it) +- [Analyze Crime Data](analyze_crime_data.md) diff --git a/spec/data.md b/spec/data.md index e331007..e5bea0e 100644 --- a/spec/data.md +++ b/spec/data.md @@ -1,34 +1,27 @@ # Data Model -> Fill in this section — see comments below. - ---- - -## Storage Technology - - - ## Entities - - -### Entity: - - - -| Field | Type | Required | Description | -|-------|------|----------|-------------| -| id | | yes | Primary key | -| | | | | - -### Relationships - - - -## Data Lifecycle - - - -## Sensitive Data - - +1. **Session** + - `session_id` (PK, string, UUID) + - `created_at` (datetime) + - `last_active_at` (datetime) + +2. **FileMetadata** + - `id` (PK, integer) + - `session_id` (FK -> Session) + - `filename` (string) + - `columns` (JSON) + - `row_count` (integer) + - `temp_path` (string) + +3. **Message (Chat History)** + - `id` (PK, integer) + - `session_id` (FK -> Session) + - `role` (string: "user", "assistant") + - `content` (text) + - `created_at` (datetime) + +## Lifecycle +- **Creation**: Sessions are created upon first CSV upload. +- **Retention**: Data is session-bound. A cleanup cron/job removes sessions and temp CSV files older than 24 hours. diff --git a/spec/roadmap.md b/spec/roadmap.md index 03ae242..3eafa54 100644 --- a/spec/roadmap.md +++ b/spec/roadmap.md @@ -1,62 +1,72 @@ # Roadmap -> Fill in each section. Run `/zero-shot-build [your idea]` to have it filled automatically. - --- ## What This Agent Does - +The Crime Statistics Analysis Agent allows detectives and crime analysts to upload multiple CSV datasets, which are automatically merged and schema-mapped. Users can query the agent in natural language to uncover trends, anomalies, and resource allocation recommendations. The agent acts as an AI data analyst, returning a structured dashboard with executive summaries, key findings, and time-series charts. ## Who Uses It - +- **Detectives & Crime Analysts:** Investigating long-term trends across districts, correlating different crime types, and planning resource allocation. They need fast, reliable answers backed by data and visual charts without writing SQL or Python code themselves. ## Core Problem Being Solved - +Detectives often have disparate CSV reports with differing schemas. Merging these files and writing scripts/SQL to analyze them takes hours or days. This agent replaces the manual data wrangling and charting process, enabling instant natural language exploration of the data. ## Success Criteria - - -- [ ] -- [ ] -- [ ] +- [ ] Users can upload multiple CSV files (up to 100MB total) and the agent successfully merges them in memory. +- [ ] Users can ask "Compare crime trends year-wise" and receive a structured dashboard with a time-series chart. +- [ ] The system accurately identifies missing dates/columns and either infers them or gracefully fails. +- [ ] The agent remembers conversation history within a session for follow-up questions. ## What This Agent Does NOT Do (Out of Scope) - +- The agent does not save CSV data permanently (data is session-bound). +- The agent does not train new ML models (it relies on zero-shot LLM reasoning and Pandas for deterministic calculations). +- The agent does not connect to live police dispatch databases (batch CSV uploads only). ## Key Constraints - +- **Scale:** Supports files up to ~100MB (~100,000 rows), processed in-memory using Pandas. +- **Privacy:** Data is strictly session-bound and wiped when the session expires or the UI is closed. +- **Provider:** Must use the Gemini API (via `AGENT_GEMINI_API_KEY`). ## Phases of Development - - -> **Phase 1 is the smallest first-time-right user-testable win.** It must work perfectly the first time the user tests it — zero rough edges on the tested path. Its backend is minimal but REAL on the one core path (no fake data on the tested path). Its frontend is visually complete: real UI for the one working path PLUS clearly-labelled NON-FUNCTIONAL stubs for everything coming later, so the user sees the vision (a stub must never be mistaken for a bug). Each later phase wires those stubs into real functionality, one increment at a time. +### Phase 1 — End-to-End Single Query on Merged CSVs -### Phase 1 — - -- **Goal:** -- **Independent slices (parallel build units):** - - `slice-a` (backend) — - - `slice-b` (frontend) — -- **Key surfaces / files:** -- **Gate command:** -- **How the user tests it (handoff seed):** +- **Goal:** Allow the user to upload multiple CSVs (up to 100MB total), which are automatically merged and mapped. The user can ask a single question, and the agent returns a structured dashboard response with summary and time-series line charts. +- **Independent slices (parallel build units):** + - `slice-backend-core` (backend) — API endpoints (`/upload`, `/analyze`, `/health`), CSV merging/mapping logic via pandas, and LangGraph agent setup. deps: none + - `slice-frontend-core` (frontend) — React dashboard skeleton (Vite), drag & drop upload component, loading animation, and structured result view. deps: none +- **Key surfaces / files:** + - `slice-backend-core`: `src/api/routes.py`, `src/services/csv_service.py`, `src/graph/nodes.py`, `src/graph/state.py` + - `slice-frontend-core`: `frontend/src/App.tsx`, `frontend/src/components/Upload.tsx`, `frontend/src/components/Dashboard.tsx`, `frontend/src/index.css` +- **Gate command:** `uv run pytest tests/test_phase1.py` +- **How the user tests it (handoff seed):** Run the backend (`uv run python -m src`) and frontend dev server (`cd frontend && npm run dev`). Open the UI, drag two sample CSVs, and ask "Which district has the most crime?". Expect a dashboard with a summary and a bar chart. -### Phase 2 — +### Phase 2 — Multi-Turn Conversational Memory & Advanced Capabilities -- **Goal:** +- **Goal:** Introduce session memory so detectives can ask follow-up questions about the data, and add anomaly/hotspot detection capabilities. - **Independent slices (parallel build units):** - - `slice-a` (backend) — - - `slice-b` (frontend) — -- **Key surfaces / files:** -- **Gate command:** -- **How the user tests it (handoff seed):** + - `slice-backend-memory` (backend) — SQLite integration for conversational state and session storage. deps: slice-backend-core + - `slice-frontend-chat` (frontend) — Interactive chat UI updates to support history and follow-up prompts. deps: slice-frontend-core +- **Key surfaces / files:** + - `slice-backend-memory`: `src/db/database.py`, `src/db/models.py`, `src/graph/memory.py` + - `slice-frontend-chat`: `frontend/src/components/Chat.tsx`, `frontend/src/App.tsx` +- **Gate command:** `uv run pytest tests/test_phase2.py` +- **How the user tests it (handoff seed):** Ask a follow-up question in the UI: "Drill down into District A". Expect the agent to remember the context of the first query and return specific data for District A. - +### Phase 3 — Production Readiness & Polish +- **Goal:** Dockerization, robust error handling for edge-case files, full test coverage, logging enhancements, and final UI polish (dark/light mode). +- **Independent slices (parallel build units):** + - `slice-ops` (backend) — `Dockerfile`, `docker-compose.yml`, README updates. deps: none + - `slice-testing-ui` (frontend) — UI theme toggle, error boundary components. deps: slice-frontend-chat +- **Key surfaces / files:** + - `slice-ops`: `Dockerfile`, `docker-compose.yml`, `README.md` + - `slice-testing-ui`: `frontend/src/components/ThemeToggle.tsx`, `frontend/src/index.css` +- **Gate command:** `uv run pytest tests/test_phase3.py` +- **How the user tests it (handoff seed):** Toggle dark/light mode. Upload a malformed CSV and verify the error is displayed cleanly. diff --git a/spec/ui.md b/spec/ui.md index 15219c3..3741c80 100644 --- a/spec/ui.md +++ b/spec/ui.md @@ -1,32 +1,18 @@ -# UI +# UI Spec -> **Boilerplate status:** Delete this file if the agent has no UI. Otherwise, filled in by the spec-writer sub-agent. +## Theme +Professional police dashboard: blue/white color scheme, modern cards, and clear typography. ---- +## Screens -## UI Type +1. **Dashboard / Upload View (Initial State)** + - Drag-and-drop zone for CSV files. + - List of uploaded files showing row counts and parsed columns. + - "Analyze Data" section with a text input area for natural language queries. - - -## Views / Screens - - - -### Screen: - -**Purpose:** - -**Key elements:** -- -- - -**Actions available:** -- - -## Error States - - - -## Tech Stack - - +2. **Results View (Active State)** + - Structured dashboard appears below the query input. + - **Executive Summary Card:** High-level AI response. + - **Key Findings Card:** Bulleted list of insights. + - **Charts Area:** Time-series line chart or bar chart (using a charting library like Chart.js or Recharts). + - **Recommendations Card:** Actionable advice based on the data. From 0e7bcc8996c432e141843266c3edfb0fabff04ac Mon Sep 17 00:00:00 2001 From: dhanesh Date: Wed, 22 Jul 2026 22:23:49 +0530 Subject: [PATCH 2/7] feat(phase-1): Implement e2e slice for crime analysis agent --- frontend/.gitignore | 24 + frontend/.oxlintrc.json | 8 + frontend/README.md | 32 + frontend/index.html | 13 + frontend/package-lock.json | 1816 +++++++++++++++++++++++++ frontend/package.json | 26 + frontend/public/app.js | 77 -- frontend/public/favicon.svg | 1 + frontend/public/icons.svg | 24 + frontend/public/index.html | 48 - frontend/public/styles.css | 59 - frontend/src/App.css | 184 +++ frontend/src/App.tsx | 92 ++ frontend/src/assets/hero.png | Bin 0 -> 13057 bytes frontend/src/assets/react.svg | 1 + frontend/src/assets/vite.svg | 1 + frontend/src/components/Dashboard.tsx | 93 ++ frontend/src/components/Upload.tsx | 91 ++ frontend/src/index.css | 170 +++ frontend/src/main.tsx | 10 + frontend/tsconfig.app.json | 26 + frontend/tsconfig.json | 7 + frontend/tsconfig.node.json | 23 + frontend/vite.config.ts | 16 + pyproject.toml | 2 + sample_crime.csv | 6 + src/api/__init__.py | 4 +- src/api/analyze.py | 61 + src/api/upload.py | 56 + src/graph/agent.py | 27 +- src/graph/edges.py | 14 +- src/graph/nodes.py | 127 +- src/graph/state.py | 12 +- uv.lock | 258 ++++ 34 files changed, 3185 insertions(+), 224 deletions(-) create mode 100644 frontend/.gitignore create mode 100644 frontend/.oxlintrc.json create mode 100644 frontend/README.md create mode 100644 frontend/index.html create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json delete mode 100644 frontend/public/app.js create mode 100644 frontend/public/favicon.svg create mode 100644 frontend/public/icons.svg delete mode 100644 frontend/public/index.html delete mode 100644 frontend/public/styles.css create mode 100644 frontend/src/App.css create mode 100644 frontend/src/App.tsx create mode 100644 frontend/src/assets/hero.png create mode 100644 frontend/src/assets/react.svg create mode 100644 frontend/src/assets/vite.svg create mode 100644 frontend/src/components/Dashboard.tsx create mode 100644 frontend/src/components/Upload.tsx create mode 100644 frontend/src/index.css create mode 100644 frontend/src/main.tsx create mode 100644 frontend/tsconfig.app.json create mode 100644 frontend/tsconfig.json create mode 100644 frontend/tsconfig.node.json create mode 100644 frontend/vite.config.ts create mode 100644 sample_crime.csv create mode 100644 src/api/analyze.py create mode 100644 src/api/upload.py diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/frontend/.oxlintrc.json b/frontend/.oxlintrc.json new file mode 100644 index 0000000..6fa991d --- /dev/null +++ b/frontend/.oxlintrc.json @@ -0,0 +1,8 @@ +{ + "$schema": "./node_modules/oxlint/configuration_schema.json", + "plugins": ["react", "typescript", "oxc"], + "rules": { + "react/rules-of-hooks": "error", + "react/only-export-components": ["warn", { "allowConstantExport": true }] + } +} diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..d6af7e3 --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,32 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some Oxlint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Oxc](https://oxc.rs) +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) + +## React Compiler + +The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation). + +## Expanding the Oxlint configuration + +If you are developing a production application, we recommend enabling type-aware lint rules by installing `oxlint-tsgolint` and editing `.oxlintrc.json`: + +```json +{ + "$schema": "./node_modules/oxlint/configuration_schema.json", + "plugins": ["react", "typescript", "oxc"], + "options": { + "typeAware": true + }, + "rules": { + "react/rules-of-hooks": "error", + "react/only-export-components": ["warn", { "allowConstantExport": true }] + } +} +``` + +See the [Oxlint rules documentation](https://oxc.rs/docs/guide/usage/linter/rules) for the full list of rules and categories. diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..0fca6f0 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + frontend + + +
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"optional": true + }, + "terser": { + "optional": true + }, + "tsx": { + "optional": true + }, + "yaml": { + "optional": true + } + } + } + } +} diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..7dab4b4 --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,26 @@ +{ + "name": "frontend", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "lint": "oxlint", + "preview": "vite preview" + }, + "dependencies": { + "react": "^19.2.7", + "react-dom": "^19.2.7", + "recharts": "^3.10.0" + }, + "devDependencies": { + "@types/node": "^24.13.2", + "@types/react": "^19.2.17", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^6.0.3", + "oxlint": "^1.71.0", + "typescript": "~6.0.2", + "vite": "^8.1.1" + } +} diff --git a/frontend/public/app.js b/frontend/public/app.js deleted file mode 100644 index 72fb850..0000000 --- a/frontend/public/app.js +++ /dev/null @@ -1,77 +0,0 @@ -// Zero-build baseline frontend. Single-origin: the page is served by the -// backend at /app, so API calls are same-origin relative paths. -"use strict"; - -const $ = (id) => document.getElementById(id); - -async function loadHealth() { - const badge = $("provider-badge"); - try { - const res = await fetch("/health"); - const body = await res.json(); - const { provider, model, key_configured: keyed } = body.data; - if (!keyed) { - badge.textContent = "no API key — set one in .env"; - badge.classList.add("stub"); - } else { - badge.textContent = `${provider} · ${model}`; - } - } catch { - badge.textContent = "backend unreachable"; - badge.classList.add("stub"); - } -} - -async function runTransform() { - const btn = $("run-btn"); - const status = $("status"); - const errBox = $("error"); - const wrap = $("result-wrap"); - - const text = $("text").value.trim(); - const instruction = $("instruction").value.trim(); - - errBox.hidden = true; - wrap.hidden = true; - - if (!text) { - errBox.textContent = "Paste some text first — the input can't be empty."; - errBox.hidden = false; - return; - } - - btn.disabled = true; - status.textContent = "Running… (one real LLM call)"; - status.hidden = false; - - try { - const res = await fetch("/runs", { - method: "POST", - headers: { "content-type": "application/json" }, - body: JSON.stringify({ text, instruction }), - }); - const body = await res.json(); - - if (!res.ok) { - const msg = body?.detail?.message || `HTTP ${res.status}`; - throw new Error(msg); - } - const run = body.data; - if (run.status === "failed") { - throw new Error(run.error_message || "The agent run failed."); - } - $("result").textContent = run.output_text; - $("result-meta").textContent = - `run ${run.run_id} · ${run.provider} · ${run.model}`; - wrap.hidden = false; - } catch (err) { - errBox.textContent = err.message; - errBox.hidden = false; - } finally { - btn.disabled = false; - status.hidden = true; - } -} - -$("run-btn").addEventListener("click", runTransform); -loadHealth(); diff --git a/frontend/public/favicon.svg b/frontend/public/favicon.svg new file mode 100644 index 0000000..6893eb1 --- /dev/null +++ b/frontend/public/favicon.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/icons.svg b/frontend/public/icons.svg new file mode 100644 index 0000000..e952219 --- /dev/null +++ b/frontend/public/icons.svg @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/public/index.html b/frontend/public/index.html deleted file mode 100644 index 014097d..0000000 --- a/frontend/public/index.html +++ /dev/null @@ -1,48 +0,0 @@ - - - - - - Zero-Shot Agent — Transform - - - -
-
-

Zero-Shot Agent

- … -
- - -
-

Transform text

-

The baseline capability: give it text and an instruction; it applies the - instruction with one real LLM call.

- - - - - - - - - - - - - -
- - -
- - - diff --git a/frontend/public/styles.css b/frontend/public/styles.css deleted file mode 100644 index fc37523..0000000 --- a/frontend/public/styles.css +++ /dev/null @@ -1,59 +0,0 @@ -/* Zero-build baseline styles — replace alongside the capability slot. */ -:root { - --bg: #0f1115; - --card: #171a21; - --text: #e8eaf0; - --muted: #9aa3b2; - --accent: #5b8def; - --error: #e5534b; - --ok: #3fb950; - --radius: 10px; - color-scheme: dark; -} -* { box-sizing: border-box; } -body { - margin: 0; - font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; - background: var(--bg); - color: var(--text); - line-height: 1.5; -} -.shell { max-width: 760px; margin: 0 auto; padding: 24px 16px 48px; } -.topbar { display: flex; align-items: center; justify-content: space-between; } -.topbar h1 { font-size: 1.4rem; margin: 0; } -.badge { - font-size: 0.75rem; padding: 3px 10px; border-radius: 999px; - background: #22304d; color: var(--accent); border: 1px solid #2d3f63; -} -.badge.stub { background: #4d2222; color: var(--error); border-color: #633030; } -.card { - background: var(--card); border-radius: var(--radius); - padding: 20px; margin-top: 20px; border: 1px solid #232838; -} -.card h2 { margin-top: 0; font-size: 1.1rem; } -.hint { color: var(--muted); font-size: 0.9rem; margin-top: -6px; } -label { display: block; margin: 14px 0 4px; font-size: 0.85rem; color: var(--muted); } -input[type="text"], textarea { - width: 100%; padding: 10px 12px; border-radius: 8px; - border: 1px solid #2b3245; background: #10131a; color: var(--text); - font: inherit; resize: vertical; -} -input:focus, textarea:focus { outline: 2px solid var(--accent); border-color: transparent; } -button { - margin-top: 16px; padding: 10px 22px; border: 0; border-radius: 8px; - background: var(--accent); color: #fff; font: inherit; font-weight: 600; cursor: pointer; -} -button:disabled { opacity: 0.55; cursor: wait; } -.status { margin-top: 14px; color: var(--muted); font-size: 0.9rem; } -.error { - margin-top: 14px; padding: 10px 14px; border-radius: 8px; - background: #2c1a19; border: 1px solid #5a2c29; color: var(--error); font-size: 0.9rem; -} -#result-wrap h3 { margin: 18px 0 6px; font-size: 0.95rem; } -pre#result { - background: #10131a; border: 1px solid #2b3245; border-radius: 8px; - padding: 14px; white-space: pre-wrap; word-wrap: break-word; margin: 0; -} -.meta { color: var(--muted); font-size: 0.78rem; } -.foot { margin-top: 28px; color: var(--muted); font-size: 0.85rem; text-align: center; } -.foot a { color: var(--accent); } diff --git a/frontend/src/App.css b/frontend/src/App.css new file mode 100644 index 0000000..f90339d --- /dev/null +++ b/frontend/src/App.css @@ -0,0 +1,184 @@ +.counter { + font-size: 16px; + padding: 5px 10px; + border-radius: 5px; + color: var(--accent); + background: var(--accent-bg); + border: 2px solid transparent; + transition: border-color 0.3s; + margin-bottom: 24px; + + &:hover { + border-color: var(--accent-border); + } + &:focus-visible { + outline: 2px solid var(--accent); + outline-offset: 2px; + } +} + +.hero { + position: relative; + + .base, + .framework, + .vite { + inset-inline: 0; + margin: 0 auto; + } + + .base { + width: 170px; + position: relative; + z-index: 0; + } + + .framework, + .vite { + position: absolute; + } + + .framework { + z-index: 1; + top: 34px; + height: 28px; + transform: perspective(2000px) rotateZ(300deg) rotateX(44deg) rotateY(39deg) + scale(1.4); + } + + .vite { + z-index: 0; + top: 107px; + height: 26px; + width: auto; + transform: perspective(2000px) rotateZ(300deg) rotateX(40deg) rotateY(39deg) + scale(0.8); + } +} + +#center { + display: flex; + flex-direction: column; + gap: 25px; + place-content: center; + place-items: center; + flex-grow: 1; + + @media (max-width: 1024px) { + padding: 32px 20px 24px; + gap: 18px; + } +} + +#next-steps { + display: flex; + border-top: 1px solid var(--border); + text-align: left; + + & > div { + flex: 1 1 0; + padding: 32px; + @media (max-width: 1024px) { + padding: 24px 20px; + } + } + + .icon { + margin-bottom: 16px; + width: 22px; + height: 22px; + } + + @media (max-width: 1024px) { + flex-direction: column; + text-align: center; + } +} + +#docs { + border-right: 1px solid var(--border); + + @media (max-width: 1024px) { + border-right: none; + border-bottom: 1px solid var(--border); + } +} + +#next-steps ul { + list-style: none; + padding: 0; + display: flex; + gap: 8px; + margin: 32px 0 0; + + .logo { + height: 18px; + } + + a { + color: var(--text-h); + font-size: 16px; + border-radius: 6px; + background: var(--social-bg); + display: flex; + padding: 6px 12px; + align-items: center; + gap: 8px; + text-decoration: none; + transition: box-shadow 0.3s; + + &:hover { + box-shadow: var(--shadow); + } + .button-icon { + height: 18px; + width: 18px; + } + } + + @media (max-width: 1024px) { + margin-top: 20px; + flex-wrap: wrap; + justify-content: center; + + li { + flex: 1 1 calc(50% - 8px); + } + + a { + width: 100%; + justify-content: center; + box-sizing: border-box; + } + } +} + +#spacer { + height: 88px; + border-top: 1px solid var(--border); + @media (max-width: 1024px) { + height: 48px; + } +} + +.ticks { + position: relative; + width: 100%; + + &::before, + &::after { + content: ''; + position: absolute; + top: -4.5px; + border: 5px solid transparent; + } + + &::before { + left: 0; + border-left-color: var(--border); + } + &::after { + right: 0; + border-right-color: var(--border); + } +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..dbc48d0 --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,92 @@ +import { useState } from 'react'; +import './index.css'; +import Upload from './components/Upload'; +import Dashboard from './components/Dashboard'; + +interface AnalyzeResponse { + summary: string; + findings: string[]; + charts: any[]; + recommendations: string[]; +} + +function App() { + const [sessionId, setSessionId] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + const [data, setData] = useState(null); + + const handleUploadComplete = (id: string) => { + setSessionId(id); + setError(null); + }; + + const handleAnalyze = async (query: string) => { + if (!sessionId) return; + setLoading(true); + setError(null); + try { + const response = await fetch('/api/analyze', { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ session_id: sessionId, query }) + }); + + const result = await response.json(); + + if (!response.ok) { + throw new Error(result.detail || 'Analysis failed'); + } + + setData(result); + } catch (err: any) { + setError(err.message); + } finally { + setLoading(false); + } + }; + + return ( +
+
+

Crime Statistics Analysis

+

AI-Powered Detectives Dashboard

+
+ +
+ {!sessionId ? ( + + ) : ( +
+
+

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+
{ + e.preventDefault(); + const fd = new FormData(e.currentTarget); + handleAnalyze(fd.get('query') as string); + }}> +