Files
yfinance-fork/cli/yfin/commands/screen.py
T
goldyard 057bc4493e Add yfin CLI + tool catalog + CLAUDE.md
Wraps the entire yfinance public API behind a single binary `yfin` with
51 subcommands across 13 namespaces (ticker, download, tickers, search,
lookup, market, sector, industry, calendars, screen, live, auth, config).
Output renders as Rich tables on TTY, JSON when piped; --format / --out
support table | json | ndjson | csv | tsv | parquet | yaml.

Highlights:
- 1857 LOC across 18 Python files under cli/yfin/
- Typer + Rich, packaged via hatchling + uv
- Install globally: `cd cli && uv tool install -e .`
- ~/.yfin/config.toml for persistent proxy/cookies/locale defaults
- Friendly YFRateLimitError handler (exit 2, no Rich traceback)
- Validated end-to-end with 33 live tests against Yahoo from a
  residential exit (AAPL, MSFT, NVDA, options, screens, calendars,
  financials, news, holders, parquet round-trip)

yfinance-tools.yaml is the single source of truth:
- tools (49)       — every public yfinance entry point with parameters
- cli (13 groups)  — exact CLI invocations, mapped back to tool names
- outputSchemas (27) — actual return shapes captured from live calls
- learnings (19)   — IP rate-limit, crumb handshake, Typer gotchas,
                     screen-build wrapping rules, upstream stubs, etc.

CLAUDE.md documents the upstream codebase layout for future agents.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 23:36:56 +08:00

133 lines
4.1 KiB
Python

"""`yfin screen ...` — predefined + custom market screens."""
from __future__ import annotations
import json
import sys
from enum import Enum
from pathlib import Path
from typing import List, Optional
import typer
import yfinance as yf
from .._shared import render_via_state
class QueryType(str, Enum):
equity = "equity"; mutualfund = "mutualfund"; etf = "etf"
_QUERY_CLASS = {
QueryType.equity: yf.EquityQuery,
QueryType.mutualfund: yf.FundQuery,
QueryType.etf: yf.ETFQuery,
}
app = typer.Typer(no_args_is_help=True, help="Predefined + custom market screens.")
@app.command("list-predefined")
def list_predefined(
ctx: typer.Context,
include_bodies: bool = typer.Option(False, "--include-bodies/--no-include-bodies"),
):
"""Show available predefined Yahoo screener names."""
if include_bodies:
out = {k: {"sortField": v.get("sortField"), "sortType": v.get("sortType"),
"query": str(v["query"])} for k, v in yf.PREDEFINED_SCREENER_QUERIES.items()}
else:
out = sorted(yf.PREDEFINED_SCREENER_QUERIES.keys())
render_via_state(ctx, out)
@app.command("predefined")
def predefined(
ctx: typer.Context,
name: str = typer.Argument(..., help="Predefined screener key (e.g. day_gainers)."),
count: int = typer.Option(25, "--count"),
offset: Optional[int] = typer.Option(None, "--offset"),
sort_field: Optional[str] = typer.Option(None, "--sort-field"),
sort_asc: Optional[bool] = typer.Option(None, "--sort-asc/--sort-desc"),
):
"""Run a predefined Yahoo screener."""
if name not in yf.PREDEFINED_SCREENER_QUERIES:
raise typer.BadParameter(
f"Unknown predefined screener {name!r}. Use `yfin screen list-predefined`."
)
out = yf.screen(
name, count=count, offset=offset,
sortField=sort_field, sortAsc=sort_asc,
)
render_via_state(ctx, out)
@app.command("run")
def run(
ctx: typer.Context,
query: str = typer.Option(
..., "--query", "-Q",
help='JSON QueryBase tree, "@file.json", or "-" to read stdin.',
),
type: QueryType = typer.Option(QueryType.equity, "--type"),
size: int = typer.Option(100, "--size"),
offset: int = typer.Option(0, "--offset"),
sort_field: Optional[str] = typer.Option(None, "--sort-field"),
sort_asc: bool = typer.Option(False, "--sort-asc/--sort-desc"),
):
"""Run a custom screen built from a QueryBase tree."""
raw = _load_query(query)
q = _build_query(type, raw)
out = yf.screen(
q, size=size, offset=offset,
sortField=sort_field, sortAsc=sort_asc,
)
render_via_state(ctx, out)
@app.command("build")
def build(
ctx: typer.Context,
type: QueryType = typer.Option(..., "--type"),
operator: str = typer.Option(..., "--operator"),
operands: str = typer.Option(..., "--operands", help='JSON array. For and/or, items are nested {operator, operands} dicts; for value ops, items are field+scalar.'),
):
"""Build and emit a QueryBase serialization (no Yahoo call)."""
cls = _QUERY_CLASS[type]
ops = json.loads(operands)
if not isinstance(ops, list):
raise typer.BadParameter("--operands must be a JSON array.")
op_up = operator.upper()
if op_up in {"AND", "OR"}:
wrapped = [_build_query(type, item) if isinstance(item, dict) else item for item in ops]
q = cls(operator, wrapped)
else:
q = cls(operator, ops)
render_via_state(ctx, {"type": type.value, "query": q.to_dict()})
def _load_query(query: str) -> dict:
if query == "-":
text = sys.stdin.read()
elif query.startswith("@"):
text = Path(query[1:]).read_text()
else:
text = query
raw = json.loads(text)
if "query" in raw and isinstance(raw["query"], dict):
raw = raw["query"]
return raw
def _build_query(type: QueryType, raw: dict):
cls = _QUERY_CLASS[type]
op = raw["operator"]
operands = raw.get("operands") or raw.get("operand") or []
built: List = []
for o in operands:
if isinstance(o, dict) and "operator" in o:
built.append(_build_query(type, o))
else:
built.append(o)
return cls(op, built)