Add rate view resolution and downstream SDK helpers (#18)
* Add public helpers to resolve rate compatibility view names. Expose resolve_rate_view_name and resolve_rate_view_names in mt5cli.history so consumers can derive mt5cli-managed SQLite view names from stored rates metadata without reimplementing the naming rules. Co-authored-by: Cursor <cursoragent@cursor.com> * Add reusable export, tick-window, and margin helpers for downstream tools. Expose SQLite append/dedup export, recent tick retrieval, and minimum margin summary through the SDK and CLI so projects like mteor can depend on mt5cli instead of duplicating MT5 data plumbing. Co-authored-by: Cursor <cursoragent@cursor.com> * Bump version to 0.4.3. Co-authored-by: Cursor <cursoragent@cursor.com> * Address PR review feedback for rate view resolution and SDK helpers. Harden SQLite read-only connections, tighten view discovery, improve recent_ticks fetch efficiency, default SQLite export to append, and expand tests and docs. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix read-only SQLite URI construction on Windows. Use Path.as_uri() so encoded file URIs work cross-platform with mode=ro. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -65,12 +65,18 @@ from datetime import UTC, datetime
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from pathlib import Path
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from mt5cli import (
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Dataset,
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IfExists,
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Mt5CliClient,
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collect_history,
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copy_rates_range,
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detect_format,
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export_dataframe,
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export_dataframe_to_sqlite,
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minimum_margins,
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recent_ticks,
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)
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from mt5cli.history import resolve_rate_view_name
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# Fetch rates programmatically
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rates = copy_rates_range(
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@@ -86,6 +92,20 @@ fmt = detect_format(Path("output.parquet")) # Returns "parquet"
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# Export a DataFrame
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export_dataframe(rates, Path("output.csv"), "csv")
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# Append to SQLite with deduplication
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export_dataframe_to_sqlite(
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rates,
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Path("history.db"),
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"rates",
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if_exists=IfExists.APPEND,
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deduplicate_on=("symbol", "timeframe", "time"),
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)
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# Resolve rate compatibility views and fetch recent ticks
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view = resolve_rate_view_name(Path("history.db"), "EURUSD", "M1")
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ticks = recent_ticks("EURUSD", seconds=300)
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margins = minimum_margins("EURUSD")
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# Collect history into SQLite
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collect_history(
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Path("history.db"),
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