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""" |
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Runner. |
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""" |
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from __future__ import annotations |
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from dataclasses import dataclass |
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from datetime import datetime |
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from pathlib import Path |
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from typing import Any, Mapping, MutableMapping, Optional, Sequence, Type, Union |
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import pandas as pd |
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import typer |
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from pocketutils.core.exceptions import InjectionError |
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from typeddfs import Checksums, TypedDfs |
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from typeddfs.abs_dfs import AbsDf |
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from mandos.entry.abstract_entries import Entry |
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from mandos.entry.api_singletons import Apis |
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from mandos.entry.entry_commands import Entries |
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from mandos.entry.utils._arg_utils import EntryUtils |
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from mandos.model.hit_dfs import HitDf |
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from mandos.model.settings import SETTINGS |
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from mandos.model.utils.setup import LOG_SETUP, logger |
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cli = typer.Typer() |
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EntriesByCmd: MutableMapping[str, Type[Entry]] = {e.cmd(): e for e in Entries} |
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# these are not permitted in individual searches |
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forbidden_keys = {"to", "stderr", "log", "replace", "proceed"} |
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SearchExplainDf = ( |
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TypedDfs.typed("SearchExplainDf") |
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.require("key", "search", "source", dtype=str) |
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.require("desc", "args", dtype=str) |
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.strict() |
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.secure() |
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).build() |
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def _no_duplicate_keys(self: AbsDf) -> Optional[str]: |
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group = self[["key"]].groupby("key").count().to_dict() |
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bad = {k for k, v in group.items() if v > 1} |
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if len(bad) > 0: |
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return f"Duplicate keys: {', '.join(bad)}" |
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return None |
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def _no_illegal_cols(self: AbsDf) -> Optional[str]: |
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illegal = {c for c in ["to", "path"] if c in self.columns} |
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if len(illegal) > 0: |
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return f"Illegal keys {', '.join(illegal)}" |
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return None |
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SearchConfigDf = ( |
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TypedDfs.typed("SearchConfigDf") |
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.require("key", "source", dtype=str) |
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.verify(_no_duplicate_keys) |
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.verify(_no_illegal_cols) |
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.add_read_kwargs("toml", aot="search") |
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.add_write_kwargs("toml", aot="search") |
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.secure() |
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.build() |
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) |
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@dataclass(frozen=True, repr=True) |
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class MultiSearch: |
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config: SearchConfigDf |
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input_path: Path |
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out_dir: Path |
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suffix: str |
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restart: bool |
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proceed: bool |
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log_path: Optional[Path] |
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@property |
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def final_path(self) -> Path: |
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name = "search_" + self.input_path.name + self.suffix |
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return self.out_dir / name |
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@property |
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def is_complete(self): |
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return Checksums().get_filesum_of_file(self.final_path).exists() |
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@property |
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def doc_path(self) -> Path: |
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return Path(str(self.final_path.with_suffix("")) + "_doc.tsv") |
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def test(self) -> None: |
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self._build_and_test() |
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def run(self) -> None: |
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commands = self._build_and_test() |
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# start! |
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for cmd in commands: |
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cmd.run() |
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logger.notice("Done with all searches!") |
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self._write_final(commands) |
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def _write_final(self, commands: Sequence[CmdRunner]): |
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# write the final file |
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df = HitDf(pd.concat([HitDf.read_file(cmd.output_path) for cmd in commands])) |
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now = datetime.now().isoformat(timespec="milliseconds") |
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df = df.set_attrs(keys=[c.key for c in commands], written=now) |
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df.write_file(self.final_path, dir_hash=True, file_hash=True, attrs=True) |
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logger.notice(f"Concatenated results to {self.final_path}") |
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def _build_and_test(self) -> Sequence[CmdRunner]: |
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# build up the list of Entry classes first, and run ``test`` on each one |
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# that's to check that the parameters are correct before running anything |
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logger.info("Building commands...") |
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commands = self._build_commands() |
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if len(commands) == 0: |
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logger.warning(f"No searches — nothing to do") |
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return [] |
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# write a file describing all of the searches |
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self.write_docs(commands) |
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# build and test |
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for cmd in commands: |
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try: |
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logger.info(f"Testing {cmd.key} ({cmd.cmd.__name__})") |
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cmd.test() |
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except Exception: |
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logger.error(f"Bad search {cmd}") |
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raise |
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logger.success("Searches look ok") |
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return commands |
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def _build_commands(self) -> Sequence[CmdRunner]: |
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commands = {} |
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for i in range(len(self.config)): |
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data = { |
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k: v |
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for k, v in self.config.iloc[i].to_dict().items() |
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if v is not None and not pd.isna(v) |
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} |
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cmd = self._build_command(data) |
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if cmd is not None: |
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commands[cmd.key] = cmd |
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return list(commands.values()) |
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def _build_command(self, data): |
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key = data["key"] |
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with logger.contextualize(key=key): |
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default_to = self.out_dir / (key + SETTINGS.table_suffix) |
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# not actually replacing -- we're just pretending so we can call adjust_filename |
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data["to"] = EntryUtils.adjust_filename( |
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None, default=default_to, replace=True, quiet=True |
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) |
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data["log"] = self._get_log_path(key) |
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data["stderr"] = None # MANDOS_SETUP.main.level |
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cmd = CmdRunner.build(data, self.input_path, restart=self.restart, proceed=self.proceed) |
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return cmd |
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def write_docs(self, commands: Sequence[CmdRunner]) -> None: |
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rows = [] |
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for cmd in commands: |
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st = cmd.cmd.get_search_type() |
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name = st.search_name() |
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src = st.primary_data_source() |
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desc = cmd.cmd.describe() |
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args = " ".join([f'{k}="{v}"' for k, v in cmd.params.items()]) |
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ser = dict(key=cmd.key, search=name, source=src, desc=desc, args=args) |
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rows.append(pd.Series(ser)) |
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SearchExplainDf(rows).write_file(self.doc_path, mkdirs=True) |
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def _get_log_path(self, key: str) -> Path: |
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if self.log_path is None: |
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suffix = SETTINGS.log_suffix |
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return self.out_dir / (key + suffix) |
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else: |
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suffix = LOG_SETUP.guess_file_sink_info(self.log_path).suffix |
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log_base = self.log_path.name[: -len(suffix)] |
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return self.log_path.parent / (log_base + "_" + key + suffix) |
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@dataclass(frozen=True, repr=True) |
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class CmdRunner: |
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cmd: Type[Entry] |
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params: MutableMapping[str, Union[int, str, float]] |
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input_path: Path |
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@property |
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def key(self) -> str: |
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return self.params["key"] |
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@property |
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def output_path(self) -> Path: |
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return Path(self.params["to"]) |
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def test(self) -> None: |
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with logger.contextualize(key=self.key): |
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self.cmd.test(self.input_path, **self.params) |
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def run(self) -> None: |
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with logger.contextualize(key=self.key): |
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self.cmd.run(self.input_path, **self.params) |
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@classmethod |
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def build( |
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cls, data: Mapping[str, Any], input_path: Path, *, restart: bool, proceed: bool |
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) -> CmdRunner: |
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key, cmd = data["key"], data["source"] |
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try: |
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cmd = EntriesByCmd[cmd] |
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except KeyError: |
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raise InjectionError(f"Search command {cmd} (key {key}) does not exist") from None |
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# we need to explicitly add the defaults from the OptionInfo instances |
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# add our new stuff after that |
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params = { |
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**cmd.default_param_values(), |
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**dict(replace=restart, proceed=proceed), |
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**{k: v for k, v in data.items() if k != "source"}, |
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} |
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return CmdRunner(cmd, params, input_path) |
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__all__ = ["MultiSearch", "SearchExplainDf", "SearchConfigDf"] |
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