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- daemon.py: gc.collect() entfernt, robustes Scheduling (last_run_date statt Minuten-Check), Exchange Registry Pattern eingeführt (STREAMING_EXCHANGES/STANDARD_EXCHANGES) - deutsche_boerse.py: Thread-safe User-Agent Rotation bei Rate-Limits, Logging statt print(), Feiertags-Prüfung, aufgeteilte Parse-Methoden - eix.py: Logging statt print(), spezifische Exception-Typen statt blankem except - read.py gelöscht und durch scripts/inspect_gzip.py ersetzt (Streaming-basiert) - Utility-Scripts in scripts/ verschoben (cleanup_duplicates, restore_and_fix, verify_fix)
81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
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def mock_get_analytics(
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metric: str = "volume",
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group_by: str = "day",
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sub_group_by: str = None,
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date_from: str = None,
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date_to: str = None,
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isins: str = None,
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continents: str = None
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):
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# Determine if we need to join metadata
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needs_metadata = any([
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group_by in ["name", "continent", "sector"],
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sub_group_by in ["name", "continent", "sector"],
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continents is not None
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])
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# Use prefixes only if joining
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t_prefix = "t." if needs_metadata else ""
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m_prefix = "m." if needs_metadata else ""
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metrics_map = {
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"volume": f"sum({t_prefix}price * {t_prefix}quantity)",
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"count": f"count(*)",
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"avg_price": f"avg({t_prefix}price)"
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}
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groups_map = {
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"day": f"date_trunc('day', {t_prefix}timestamp)",
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"month": f"date_trunc('month', {t_prefix}timestamp)",
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"exchange": f"{t_prefix}exchange",
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"isin": f"{t_prefix}isin",
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"name": f"coalesce({m_prefix}name, {t_prefix}isin)" if needs_metadata else "isin",
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"continent": f"coalesce({m_prefix}continent, 'Unknown')" if needs_metadata else "'Unknown'",
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"sector": f"coalesce({m_prefix}sector, 'Unknown')" if needs_metadata else "'Unknown'"
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}
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selected_metric = metrics_map.get(metric, metrics_map["volume"])
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selected_group = groups_map.get(group_by, groups_map["day"])
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query = f"select {selected_group} as label"
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if sub_group_by and sub_group_by in groups_map:
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query += f", {groups_map[sub_group_by]} as sub_label"
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query += f", {selected_metric} as value from trades"
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if needs_metadata:
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query += " t left join metadata m on t.isin = m.isin"
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query += " where 1=1"
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if date_from:
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query += f" and {t_prefix}timestamp >= '{date_from}'"
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if date_to:
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query += f" and {t_prefix}timestamp <= '{date_to}'"
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if isins:
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isins_list = ",".join([f"'{i.strip()}'" for i in isins.split(",")])
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query += f" and {t_prefix}isin in ({isins_list})"
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if continents and needs_metadata:
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cont_list = ",".join([f"'{c.strip()}'" for c in continents.split(",")])
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query += f" and {m_prefix}continent in ({cont_list})"
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query += " group by label"
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if sub_group_by and sub_group_by in groups_map:
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query += ", sub_label"
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query += " order by label asc"
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return query
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# Test cases
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print("Case 1: Basic analytics (reported error case)")
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print(mock_get_analytics(metric="volume", group_by="day", date_from="2025-12-26", date_to="2026-01-25", isins="DE000LS1LUS9"))
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print("\nCase 2: Filtering by continent (should join)")
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print(mock_get_analytics(metric="volume", group_by="day", continents="Europe"))
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print("\nCase 3: Grouping by name (should join)")
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print(mock_get_analytics(metric="count", group_by="name"))
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