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Copy pathcompare.py
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executable file
·219 lines (169 loc) · 8.21 KB
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#!/usr/bin/env python3
import argparse
import csv
import os
import sys
import simplejson as json
from util.log import log
from util.compare_results import locate_difference, compare_results, smart_open
from validate import Result, validate_queries
csv.field_size_limit(sys.maxsize)
def load_expected(expected_dir):
"""
Load the pre-computed expectation files from expected_dir.
Args:
expected_dir (str): Directory containing valid_queries.csv, invalid_queries.csv and results.csv.gz.
Returns:
tuple[dict, set]: A mapping of query to (Result, systems) and the set of all known queries.
"""
valid_csv = os.path.join(expected_dir, "valid_queries.csv")
if not os.path.exists(valid_csv):
raise Exception(f"Valid queries file {valid_csv} does not exist.")
invalid_csv = os.path.join(expected_dir, "invalid_queries.csv")
if not os.path.exists(invalid_csv):
raise Exception(f"Invalid queries file {invalid_csv} does not exist.")
results_csv = os.path.join(expected_dir, "results.csv.gz")
if not os.path.exists(results_csv):
raise Exception(f"Results file {results_csv} does not exist.")
queries = set()
valid = []
log.info(f"Loading the valid queries ...")
with log.progress(f"Loading the valid queries", total=len(queries)) as progress:
with smart_open(valid_csv, encoding='utf-8') as f1:
with smart_open(results_csv, encoding='utf-8') as f2:
reader1 = csv.DictReader(f1)
reader2 = csv.DictReader(f2)
for row1, row2 in zip(reader1, reader2):
if row1["query"] != row2["query"]:
raise Exception(f"Queries do not match: {row1['query']} != {row2['query']}")
progress.description(row1["query"])
query = row1["query"]
systems = json.loads(row1["systems"])
dbms = row2["system"]
result = row2["result"]
valid.append((Result(dbms, query, result, False, ""), systems))
queries.add(query)
progress.advance()
with smart_open(invalid_csv, encoding='utf-8') as f:
reader = csv.DictReader(f)
for row in reader:
queries.add(row["query"])
expected = {}
for r, systems in valid:
expected[r.query] = (r, systems)
return expected, queries
def load_expected_from_results(result_csv):
"""
Compute the expectation on the fly from a result CSV (validate.py's logic).
Args:
result_csv (str): Result file to compute the expected results from.
Returns:
tuple[dict, set]: A mapping of query to (Result, systems) and the set of all known queries.
"""
log.info(f"Loading the expected results from {result_csv} ...")
valid, invalid = validate_queries(result_csv)
queries = set()
for r, _ in valid:
queries.add(r.query)
for query, _ in invalid:
queries.add(query)
expected = {}
for r, systems in valid:
expected[r.query] = (r, systems)
return expected, queries
def compare_input(input_csv, expected, queries, ignore_decimal_points=False, ignore_microseconds=False):
"""
Compare the results in input_csv against the expected results.
Args:
input_csv (str): Result file to validate.
expected (dict): Mapping of query to (Result, systems) as returned by load_expected.
queries (set): The set of all known queries.
Returns:
tuple: (valid_count, invalid_count, per_system_valid, per_system_invalid, mismatches).
"""
valid_count = 0
invalid_count = 0
per_system_valid = {}
per_system_invalid = {}
mismatches = []
log.newline()
log.info(f"Loading the data from {input_csv} ...")
with log.progress(f"Loading the data", total=len(queries)) as progress:
with smart_open(input_csv, newline='', encoding='utf-8') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
query = row['query']
progress.description(query)
if query not in queries:
log.warn(f"Query {query} is not in the expected results.", row["title"])
progress.advance()
continue
dbms = row['dbms'].strip()
state = row['state'].strip()
result = row['result']
if state == "success":
if query not in expected:
log.info_verbose(f"Query {query} has no expected results.", row["title"])
progress.advance()
continue
r, systems = expected[query]
if not compare_results(r.result, result, ignore_decimal_points=ignore_decimal_points, ignore_microseconds=ignore_microseconds):
log.warn(f"Query {query} has different results (computed by {systems[0]}{", " + str(systems[1:]) + " also had a different result" if len(systems) > 1 else ""}).", row["title"])
log.warn(locate_difference(r.result, result, r.dbms, dbms, ignore_decimal_points=ignore_decimal_points, ignore_microseconds=ignore_microseconds, columns=row["columns"]), row["title"])
invalid_count += 1
per_system_invalid[row["title"]] = per_system_invalid.get(row["title"], 0) + 1
mismatches.append((row["title"], query))
else:
log.info_verbose(f"Query {query} has the same results.", row["title"])
valid_count += 1
per_system_valid[row["title"]] = per_system_valid.get(row["title"], 0) + 1
progress.advance()
return valid_count, invalid_count, per_system_valid, per_system_invalid, mismatches
def main():
log.header("Compare Results")
"""
Main function to validate query results.
"""
argparser = argparse.ArgumentParser()
argparser.add_argument("-b", "--benchmark", default=None, help="The benchmark for which to load the results")
argparser.add_argument("-d", "--expected-dir", default=None, help="Directory with pre-computed expectation files (overrides --benchmark)")
argparser.add_argument("-e", "--expected", default=None, help="System to compare")
argparser.add_argument("--ignore-decimal-points", default=False, action="store_true", help="Ignore decimal point differences")
argparser.add_argument("--ignore-microseconds", default=False, action="store_true", help="Ignore microsecond differences")
argparser.add_argument("input", help="Input file")
args = argparser.parse_args()
if args.benchmark is None and args.expected_dir is None and args.expected is None:
raise Exception("Please provide a benchmark, an expectation directory or a file to compute the expected results.")
input_csv = args.input
if args.expected_dir is not None:
expected, queries = load_expected(args.expected_dir)
elif args.benchmark is not None:
expected, queries = load_expected(os.path.join("benchmarks", args.benchmark))
else:
expected, queries = load_expected_from_results(args.expected)
if args.ignore_decimal_points:
log.info("Ignoring decimal point differences.")
if args.ignore_microseconds:
log.info("Ignoring microsecond differences.")
valid_count, invalid_count, per_system_valid, per_system_invalid, _ = compare_input(
input_csv, expected, queries,
ignore_decimal_points=args.ignore_decimal_points,
ignore_microseconds=args.ignore_microseconds,
)
log.newline()
log.info(f"Queries with equal result: {valid_count}")
log.info(f"Queries with different result: {invalid_count}")
all_titles = sorted(per_system_valid.keys() | per_system_invalid.keys())
if all_titles:
log.newline()
log.info("Per-system summary:")
for title in all_titles:
equal = per_system_valid.get(title, 0)
different = per_system_invalid.get(title, 0)
log.info(f" {title}: {equal} equal, {different} different")
if __name__ == "__main__":
try:
main()
except Exception as e:
log.error(e)
raise e