by the numbers

By the numbers

Data collected on 2026-06-19.

A quantitative snapshot of the 360Ghar backend. Numbers describe the repository at app/, tests/, and chatgpt-widgets/ plus a few tooling paths. For the narrative behind these figures, see lore.md.

Size and shape

Metric	Value
Source lines (Python)	67,841 in app/
Test lines	33,125 in tests/
Test-to-code ratio	49%
Python source files	352
Test files	159
Model files	18
REST endpoints	333 across 38 endpoint modules
ORM tables	68 across 18 model files
MCP tools	40+ across user and admin servers
Enums	50+ in app/models/enums.py
Data hub scrapers	26 modules in app/services/data_hub/
Widgets	11 React HTML bundles in chatgpt-widgets/dist/

Language breakdown

The backend is 100% Python. The chatgpt-widgets/ package adds a small TypeScript/React surface for MCP generative UI. The chart below shows approximate lines of code by area.

---
config:
    xyChart:
        chartOrientation: horizontal
        xAxis:
            labelPadding: 12
---
xychart-beta
    title "Lines of code by area"
    x-axis ["app/services", "tests", "app/api", "app/core", "app/mcp", "app/models", "chatgpt-widgets"]
    y-axis "Lines of code" 0 --> 25000
    bar [22000, 33125, 9000, 8000, 6500, 4500, 3500]

Loading

Bar values are rounded order-of-magnitude estimates derived from the directory-to-purpose map; they are not recomputed per build. Use cloc app/ tests/ chatgpt-widgets/ for a live count.

Activity

Metric	Value
Total commits	182
Commits in last 90 days	87
Contributors	2 humans (Saksham Mittal, Ravi Sahu) plus railway-app[bot] for deploys
Tags or releases	None
Project age	~12 months (first commit June 29, 2025)

Bot attribution is light: zero commits carry an explicit Co-authored-by: bot trailer. In practice the vast majority of human commits are AI-assisted, given a single primary contributor and the cadence. We mention this so the figures are not read as a hand-written line count.

Churn hotspots (last 90 days)

Files most often touched, by commit count over the trailing 90 days:

File	Commits
app/core/config.py	14
app/services/user.py	13
app/services/property/crud.py	12
app/services/property/search.py	11
app/services/flatmates/profiles.py	11
app/core/auth.py	11

These cluster around configuration, auth, property search, and the flatmates profile pipeline. They overlap with the active API standardization effort described in lore.md.

Complexity

Largest source files by line count:

File	Lines
app/services/user.py	951
app/services/blog.py	930
app/services/storage/service.py	723
app/services/property/search.py	707
app/services/ai_agent/tools/owner.py	676

Code hygiene is strong: only 2 TODO/FIXME markers across the source tree. No deprecated features or major rewrites; the project is young enough that growth has been additive.

What to take away

• A mid-sized async Python service with a real test discipline (49% test ratio, 90% coverage gate in CI).
• A single primary contributor driving AI-assisted commits at a steady cadence.
• Hotspots map to the active refactor: pagination standardization, property search, and flatmates.
• The MCP surface (40+ tools, 11 widgets) is large relative to the rest of the codebase and warrants the dedicated attention it gets in features/mcp-servers.md.