Chris Amow
cc25871032
The live socket never made a REST call, so the seven-day refresh token expired while the chart still looked fine. A deploy then could not log in. Ping user preferences every six hours, and when the grant is already dead offer a one-click reconnect that writes the token on the existing callback.
432 lines
15 KiB
Python
432 lines
15 KiB
Python
import asyncio
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import json
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import base64
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import json
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import logging
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import time
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import uuid
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from datetime import date as Date
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from typing import Literal
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from fastapi import APIRouter, Depends, HTTPException, Query, Request, Response
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from fastapi.responses import RedirectResponse
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from pydantic import BaseModel, Field
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from app.bars.models import Timeframe
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from app.config import DEFAULT_MAX_BARS_PER_TF
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from app.analysis.levels import Side
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from app.analysis.manual_lines import ManualLine
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from app.analysis.user_prefs import MA_ALERT_PERIODS
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from app.api.deps import require_token
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from app.api.captures import CAPTURE_MAX_BYTES, capture_path, save_capture
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from app.market.es_options import nearby_expirations
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from app.market.schwab_quotes import run_search
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# Everything here needs the token when CHART_AUTH_TOKEN is set. /health and
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# /version live in app.api.meta and stay open on purpose.
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api", dependencies=[Depends(require_token)])
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def positioned_level(runtime, line_id: str):
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return next(level for level in runtime.levels if level.id == line_id)
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@router.post("/debug/captures", status_code=201)
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async def create_debug_capture(request: Request):
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try:
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content_length = int(request.headers.get("content-length", "0") or 0)
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except ValueError:
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raise HTTPException(400, "Invalid Content-Length") from None
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if content_length > CAPTURE_MAX_BYTES:
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raise HTTPException(413, "Capture exceeds 10 MB")
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if request.headers.get("content-type", "").split(";", 1)[0] != "image/png":
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raise HTTPException(415, "Diagnostic capture must be image/png")
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try:
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encoded = request.headers.get("x-capture-metadata", "")
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metadata = json.loads(base64.b64decode(encoded, validate=True)) if encoded else {}
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if not isinstance(metadata, dict):
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raise ValueError
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except (ValueError, json.JSONDecodeError):
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raise HTTPException(400, "Invalid capture metadata") from None
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image = await request.body()
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try:
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capture_id, details = save_capture(image, metadata)
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except ValueError as exc:
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raise HTTPException(400, str(exc)) from exc
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logger.warning(
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"CAPTUREDBG id=%s tf=%s viewport=%sx%s",
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capture_id,
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details.get("timeframe"),
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details.get("viewport_width"),
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details.get("viewport_height"),
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)
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return {
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"id": capture_id,
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"url": f"/api/debug/captures/{capture_id}",
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"metadata_url": f"/api/debug/captures/{capture_id}/meta",
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}
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class LineCreate(BaseModel):
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tf: Timeframe
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side: Side
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anchor_t: int
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anchor_p: float
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end_t: int
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end_p: float
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note: str = ""
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hidden: bool = False
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color: str = Field("#65b7cf", pattern=r"^#[0-9a-fA-F]{6}$")
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line_width: int = Field(2, ge=1, le=9)
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cutoff_t: int | None = None
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armed: bool = True
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class PriceAlertCreate(BaseModel):
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"""A horizontal level typed in rather than drawn.
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Structurally just a manual line with zero slope, so it inherits persistence,
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editing, clustering and — importantly — the rule that a hand-placed level
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alerts regardless of confluence score.
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"""
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price: float = Field(gt=0)
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note: str = ""
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tf: Timeframe = Timeframe.D1
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color: str = Field("#e0a34a", pattern=r"^#[0-9a-fA-F]{6}$")
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line_width: int = Field(2, ge=1, le=9)
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alert_early_points: float | None = Field(None, ge=0)
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class LinePatch(BaseModel):
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side: Side | None = None
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note: str | None = None
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hidden: bool | None = None
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color: str | None = Field(None, pattern=r"^#[0-9a-fA-F]{6}$")
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line_width: int | None = Field(None, ge=1, le=9)
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anchor_t: int | None = None
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anchor_p: float | None = None
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slope: float | None = None
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last_t: int | None = None
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cutoff_t: int | None = None
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armed: bool | None = None
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pinned: bool | None = None
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x: float | None = Field(None, ge=0.0, le=1.0)
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y: float | None = Field(None, ge=0.0, le=1.0)
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collapsed: bool | None = None
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alert_early_points: float | None = Field(None, ge=0)
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scale: float | None = Field(None, ge=0.5, le=3)
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@router.get("/status")
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def status(request: Request):
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runtime = request.app.state.runtime
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return {
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"stream": runtime.stream.status,
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"source": runtime.stream.source.name,
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"delay_minutes": runtime.stream.source.delay_minutes,
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"symbol": runtime.stream.symbol,
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"last_bar_t": runtime.stream.last_bar_t,
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"bars_held": runtime.store.counts(),
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"trendline_geometry": (
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"source_tf" if runtime.settings.trendline_source_geometry else "legacy"
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),
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"warm": {tf.value: bool(runtime.store.get(tf)) for tf in Timeframe},
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# How late the event loop is running. Rising numbers mean something is
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# blocking it — see docs/async_refactor.md.
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"loop_lag_ms": {
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"recent": round(runtime.loop_lag_recent * 1000, 1),
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"worst": round(runtime.loop_lag_worst * 1000, 1),
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},
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"needs_login": runtime.needs_login(),
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}
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@router.get("/schwab/login")
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def schwab_login(request: Request):
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settings = request.app.state.runtime.settings
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if not settings.schwab_api_key or not settings.schwab_app_secret:
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raise HTTPException(503, "Live source is not configured")
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return RedirectResponse(request.app.state.runtime.start_schwab_login())
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@router.get("/bars")
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def bars(
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request: Request,
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tf: str = "1m",
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limit: int | None = Query(None, ge=1, le=DEFAULT_MAX_BARS_PER_TF),
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):
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try:
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timeframe = Timeframe(tf)
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except ValueError as exc:
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raise HTTPException(400, "Unknown timeframe") from exc
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values = request.app.state.runtime.store.get(timeframe, limit)
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return {"tf": timeframe.value, "bars": [bar.to_dict() for bar in values]}
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@router.get("/levels")
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def levels(request: Request, tf: str = "all"):
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values = request.app.state.runtime.levels
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if tf != "all":
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try:
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timeframe = Timeframe(tf)
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except ValueError as exc:
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raise HTTPException(400, "Unknown timeframe") from exc
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values = [level for level in values if level.tf is timeframe]
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return {"levels": [level.to_dict() for level in values]}
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@router.get("/confluence")
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def confluence(request: Request):
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runtime = request.app.state.runtime
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return {
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"price": runtime.price,
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"clusters": [cluster.to_dict() for cluster in runtime.clusters],
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}
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@router.get("/prefs/ma-alerts")
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def get_ma_alerts(request: Request):
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return request.app.state.runtime.ma_alerts()
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@router.put("/prefs/ma-alerts")
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def put_ma_alerts(request: Request, payload: dict):
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periods = payload.get("1d", [])
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if not isinstance(periods, list) or not all(period in MA_ALERT_PERIODS for period in periods):
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raise HTTPException(400, "Unknown MA period")
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return request.app.state.runtime.set_ma_alerts({
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"1d": sorted({int(period) for period in periods}),
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})
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@router.post("/lines", status_code=201)
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def create_line(request: Request, payload: LineCreate):
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if payload.end_t == payload.anchor_t:
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raise HTTPException(400, "Line endpoints must have different times")
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line = ManualLine(
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id=f"ml_{uuid.uuid4().hex}",
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tf=payload.tf,
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side=payload.side,
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anchor_t=payload.anchor_t,
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anchor_p=payload.anchor_p,
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slope=(payload.end_p - payload.anchor_p) / (payload.end_t - payload.anchor_t),
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last_t=payload.end_t,
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created_at=int(time.time()),
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note=payload.note,
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hidden=payload.hidden,
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color=payload.color,
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line_width=payload.line_width,
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cutoff_t=payload.cutoff_t,
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armed=payload.armed,
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)
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runtime = request.app.state.runtime
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line = runtime.manual_lines.add(line)
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runtime.rebuild_levels()
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return positioned_level(runtime, line.id).to_dict()
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@router.post("/lines/price", status_code=201)
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def create_price_alert(request: Request, payload: PriceAlertCreate):
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runtime = request.app.state.runtime
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now = int(time.time())
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# Side is only used for the label; clustering derives it positionally.
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reference = runtime.price if runtime.price is not None else payload.price
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line = ManualLine(
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id=f"ml_{uuid.uuid4().hex}",
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tf=payload.tf,
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side=Side.RESISTANCE if payload.price >= reference else Side.SUPPORT,
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anchor_t=now,
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anchor_p=payload.price,
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slope=0.0,
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# A horizontal level has no natural end. The span only matters to the
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# fallback geometry; price_at() is constant either way.
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last_t=now + 3600,
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created_at=now,
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note=payload.note,
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color=payload.color,
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line_width=payload.line_width,
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alert_early_points=payload.alert_early_points,
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)
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line = runtime.manual_lines.add(line)
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runtime.rebuild_levels()
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return positioned_level(runtime, line.id).to_dict()
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class CommentCreate(BaseModel):
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text: str = Field(min_length=1, max_length=2000)
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# Pinned to a moment on the chart, or floating and always on screen.
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pinned: bool = True
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anchor_t: int | None = None
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anchor_p: float | None = None
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x: float = Field(0.72, ge=0.0, le=1.0)
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y: float = Field(0.12, ge=0.0, le=1.0)
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color: str = Field("#c8992f", pattern=r"^#[0-9a-fA-F]{6}$")
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tf: Timeframe = Timeframe.M1
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icon: Literal[
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"arrow-up", "arrow-down", "face-smile", "hand-point-right",
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"skull", "face-laugh-squint", "champagne-glasses",
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"arrow-left", "arrow-right", "hand", "right-to-bracket", "play",
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] | None = None
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scale: float = Field(1.0, ge=0.5, le=3)
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@router.post("/comments", status_code=201)
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def create_comment(request: Request, payload: CommentCreate):
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"""A note on the chart. Stored with the lines so it shares their numbering,
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filtering and deletion, but it is never a level — see ManualLineStore.levels.
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"""
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runtime = request.app.state.runtime
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now = int(time.time())
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anchored = payload.anchor_t if payload.anchor_t is not None else now
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line = ManualLine(
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id=f"ml_{uuid.uuid4().hex}",
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tf=payload.tf,
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# Side is meaningless for a comment; clustering never sees it.
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side=Side.SUPPORT,
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anchor_t=anchored,
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anchor_p=payload.anchor_p if payload.anchor_p is not None else (runtime.price or 0.0),
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slope=0.0,
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last_t=anchored,
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created_at=now,
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note=payload.text,
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color=payload.color,
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kind="symbol" if payload.icon else "comment",
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icon=payload.icon or "",
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scale=payload.scale,
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pinned=payload.pinned,
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x=payload.x,
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y=payload.y,
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# A comment must never alert, whatever else changes around it.
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armed=False,
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)
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line = runtime.manual_lines.add(line)
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return line.to_dict()
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class SnapReport(BaseModel):
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"""What the browser computed for one snap, for diagnosing chart geometry."""
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cursor_t: int | None = None
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cursor_p: float | None = None
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cursor_x: float | None = None
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snapped_t: int | None = None
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snapped_p: float | None = None
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bars_held: int | None = None
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first_bar_t: int | None = None
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last_bar_t: int | None = None
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tf: str | None = None
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chart_w: float | None = None
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chart_h: float | None = None
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cursor_y: float | None = None
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# Where the indicator actually landed versus where the price says it should
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# — the only way to tell a wrong answer from a correctly-computed one drawn
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# in the wrong place.
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dot_y: float | None = None
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expected_y: float | None = None
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bar_low_y: float | None = None
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bar_high_y: float | None = None
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note: str | None = None
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@router.post("/debug/snap", status_code=204)
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def debug_snap(payload: SnapReport):
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"""Record one snap sample from a browser running diagnostic mode.
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Chart geometry bugs live in the client, and the browser is usually on a
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different machine from whoever is debugging it — so its own numbers cannot
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be read any other way. Off unless the page is opened with ?diag=1; see
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AGENTS.md. Logged at warning level so it appears without reconfiguring
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uvicorn's log levels.
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"""
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logger.warning("SNAPDBG %s", payload.model_dump())
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return Response(status_code=204)
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@router.get("/debug/captures/{capture_id}/meta")
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def get_debug_capture_metadata(capture_id: str):
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path = capture_path(capture_id, ".json")
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if path is None:
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raise HTTPException(404, "Capture not found")
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return json.loads(path.read_text(encoding="utf-8"))
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@router.get("/drawings")
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def drawings(request: Request):
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"""Every drawing, comments included, for the sidebar list."""
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store = request.app.state.runtime.manual_lines
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return {"drawings": [
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{**line.to_dict(), "kind": line.drawing_kind} for line in store.drawings()
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]}
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@router.patch("/lines/{line_id}")
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def patch_line(request: Request, line_id: str, payload: LinePatch):
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changes = payload.model_dump(exclude_none=True)
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# None deliberately clears a per-level override and restores ATR behavior.
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if "alert_early_points" in payload.model_fields_set:
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changes["alert_early_points"] = payload.alert_early_points
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if "cutoff_t" in payload.model_fields_set:
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changes["cutoff_t"] = payload.cutoff_t
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if changes.get("anchor_t") == changes.get("last_t") and "anchor_t" in changes:
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raise HTTPException(400, "Line endpoints must have different times")
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try:
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line = request.app.state.runtime.manual_lines.update(line_id, changes)
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except KeyError as exc:
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raise HTTPException(404, "Line not found") from exc
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request.app.state.runtime.rebuild_levels()
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# A comment has no level form — returning one would hand the caller a shape
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# that looks like something the confluence engine tracks.
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return line.to_dict() if line.is_comment else positioned_level(
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request.app.state.runtime, line.id,
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).to_dict()
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@router.delete("/lines/{line_id}", status_code=204)
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def delete_line(request: Request, line_id: str):
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try:
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request.app.state.runtime.manual_lines.delete(line_id)
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except KeyError as exc:
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raise HTTPException(404, "Line not found") from exc
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request.app.state.runtime.rebuild_levels()
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return Response(status_code=204)
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@router.get("/es-options/expirations")
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def es_option_expirations():
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return {"expirations": [row.to_dict() for row in nearby_expirations()]}
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@router.get("/es-options/search")
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async def es_option_search(
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request: Request,
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date: str,
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root: str,
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side: Literal["P", "C"] = "P",
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mode: Literal["delta", "price"] = "delta",
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min: float = Query(...),
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max: float = Query(...),
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):
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try:
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day = Date.fromisoformat(date)
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except ValueError as exc:
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raise HTTPException(400, "Invalid expiration date") from exc
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if not root or len(root) > 16:
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raise HTTPException(400, "Invalid root")
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try:
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result = await asyncio.to_thread(
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run_search,
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request.app.state.runtime.settings,
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day=day,
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root=root,
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side=side,
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mode=mode,
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low=min,
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high=max,
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)
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except FileNotFoundError as exc:
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raise HTTPException(503, "Schwab token missing") from exc
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except ValueError as exc:
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raise HTTPException(502, str(exc)) from exc
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return result
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