Prod 399 version 2

spark_log_parser/__init__.py

@@ -1,3 +1,2 @@
 """Tools for providing Spark event log"""
-__version__ = "0.1.4"
-
+__version__ = "0.1.5"

spark_log_parser/cli.py

@@ -2,6 +2,8 @@
 import logging
 import sys
 import tempfile
+import json
+import shutil
 from pathlib import Path
 from urllib.parse import unquote
 
@@ -40,22 +42,28 @@ def main():
     print("\n" + "*" * 12 + " Running the Log Parser for Spark Predictor " + "*" * 12 + "\n")
     print("--Processing log file: " + str(args.log_file))
 
-    with tempfile.TemporaryDirectory() as work_dir:
-
-        event_log_paths = Extractor(
-            unquote(args.log_file.resolve().as_uri()), work_dir, thresholds=ExtractThresholds(size=20000000000)
-        ).extract()
-
-        event_log = EventLogBuilder(event_log_paths, work_dir).build()
-        app = sparkApplication(eventlog=str(event_log))
-
     if args.log_file.suffixes:
         result_path = args.result_dir.joinpath(
             "parsed-" + args.log_file.name[: -len("".join(args.log_file.suffixes))]
         )
     else:
         result_path = args.result_dir.joinpath("parsed-" + args.log_file.name)
 
-    app.save(str(result_path))
+    with tempfile.TemporaryDirectory() as work_dir:
+
+        event_log_paths = Extractor(
+            unquote(args.log_file.resolve().as_uri()),
+            work_dir,
+            thresholds=ExtractThresholds(size=20000000000),
+        ).extract()
+
+        event_log, parsed = EventLogBuilder(event_log_paths, work_dir).build()
+
+        if not parsed:
+            app = sparkApplication(spark_eventlog_path=str(event_log))
+            app.save(str(result_path))
+        else:
+            print("--Input log was already parsed")
+            shutil.copyfile(event_log, str(result_path) + ".json")
 
     print(f"--Result saved to: {result_path}.json")

spark_log_parser/eventlog.py

@@ -11,11 +11,9 @@ def __init__(
         event_log_paths: list[Path] | list[str],
         work_dir: Path | str,
     ):
-
         self.event_log_paths = self._validate_event_log_paths(event_log_paths)
         self.work_dir = self._validate_work_dir(work_dir)
 
-
     def _validate_event_log_paths(self, event_log_paths: list[Path] | list[str]) -> list[Path]:
         return [Path(x) for x in event_log_paths]
 
@@ -26,41 +24,58 @@ def _validate_work_dir(self, work_dir: Path | str) -> Path:
 
         return work_dir_path
 
-    def build(self) -> Path:
+    def build(self) -> tuple[Path, bool]:
 
         if not self.event_log_paths:
             raise ValueError("No files found")
 
-        self.event_log = self._get_event_log(self.event_log_paths)
+        self.event_log, self.parsed = self._get_event_log(self.event_log_paths)
 
-        return self.event_log
+        return self.event_log, self.parsed
+
+    def _get_event_log(self, paths: list[Path]) -> tuple[Path, bool]:
 
-    def _get_event_log(self, paths: list[Path]) -> Path:
         log_files = []
         rollover_dat = []
+        parsed = False
         for path in paths:
-            with open(path) as fobj:
-                try:
+            try:  # Test if it is a raw log
+                with open(path) as fobj:
                     line = json.loads(fobj.readline())
+                    if "Event" in line:
+                        log_files.append(path)
+                        if line["Event"] == "DBCEventLoggingListenerMetadata":
+                            rollover_dat.append(
+                                (line["Rollover Number"], line["SparkContext Id"], path)
+                            )
+                    else:
+                        raise ValueError
+
+            except ValueError:
+                try:  # Test if it is a parsed log
+                    with open(path) as fobj:
+                        data = json.load(fobj)
+                        if "jobData" in data:
+                            log_files.append(path)
+                            parsed = True
                 except ValueError:
                     continue
-                if "Event" in line:
-                    log_files.append(path)
-                    if line["Event"] == "DBCEventLoggingListenerMetadata":
-                        rollover_dat.append(
-                            (line["Rollover Number"], line["SparkContext Id"], path)
-                        )
+
+        if len(log_files) > 1 and parsed:
+            raise ValueError("A parsed log file was submitted with other log files")
 
         if rollover_dat:
             if len(log_files) > len(rollover_dat):
-                raise ValueError("No rollover properties found in log file")
+                raise ValueError(
+                    "Rollover logs were detected, but not all files had rollover properties"
+                )
 
-            return self._concat(rollover_dat)
+            return self._concat(rollover_dat), False
 
         if len(log_files) > 1:
-            raise ValueError("No rollover properties found in log file")
+            raise ValueError("Multiple files detected without log rollover properties")
 
-        return log_files[0]
+        return log_files[0], parsed
 
     def _concat(self, rollover_dat: list[tuple[str, str, str]]) -> Path:
         rollover_df = (

spark_log_parser/parsing_models/application_model_v2.py

@@ -17,42 +17,38 @@
 class sparkApplication:
     def __init__(
         self,
-        objfile=None,  # Previously saved object. This is the fastest and best option
-        appobj=None,  # application_model object
-        eventlog=None,  # spark eventlog path,
+        spark_eventlog_parsed_path=None,
+        spark_eventlog_path=None,
         stdout=None,
         debug=False,
     ):
 
-        self.eventlog = eventlog
+        self.spark_eventlog_path = spark_eventlog_path
+        self.spark_eventlog_parsed_path = spark_eventlog_parsed_path
         self.existsSQL = False
         self.existsExecutors = False
-        # self.sparkMetadata = {}
         self.metadata = {}
         self.stdout = stdout
         self.debug = debug
 
-        if objfile is not None:  # Load a previously saved sparkApplication Model
-            self.load(filepath=objfile)
+        if self.spark_eventlog_parsed_path is not None:
+            self.load(filepath=self.spark_eventlog_parsed_path)
 
-        if (appobj is not None) or (eventlog is not None):  # Load an application_model or eventlog
+        elif self.spark_eventlog_path is not None:
 
-            if eventlog is not None:
-                t0 = time.time()
-                if "s3://" in eventlog:
-                    path = eventlog.replace("s3://", "").split("/")
-                    bucket = path[0]
-                    path = "/".join(path[1:])
-                else:
-                    path = eventlog
-                    bucket = None
-
-                appobj = ApplicationModel(
-                    eventlogpath=path, bucket=bucket, stdoutpath=stdout, debug=debug
-                )
-                logging.info("Loaded object from spark eventlog [%.2fs]" % (time.time() - t0))
+            t0 = time.time()
+            if "s3://" in self.spark_eventlog_path:
+                path = self.spark_eventlog_path.replace("s3://", "").split("/")
+                bucket = path[0]
+                path = "/".join(path[1:])
             else:
-                logging.info("Loaded object from ApplicationModel object")
+                path = self.spark_eventlog_path
+                bucket = None
+
+            appobj = ApplicationModel(
+                eventlogpath=path, bucket=bucket, stdoutpath=stdout, debug=debug
+            )
+            logging.info("Loaded object from spark eventlog [%.2fs]" % (time.time() - t0))
 
             self.validate_app(appobj, self.debug)
 
@@ -651,9 +647,11 @@ def save(self, filepath=None, compress=False):
 
     def save_to_local(self, saveDat, filepath, compress):
         if filepath is None:
-            if self.eventlog is None:
+            if self.spark_eventlog_path is None:
                 raise Exception('No input eventlog found. Must specify "filepath".')
-            inputFile = os.path.basename(os.path.normpath(self.eventlog)).replace(".gz", "")
+            inputFile = os.path.basename(os.path.normpath(self.spark_eventlog_path)).replace(
+                ".gz", ""
+            )
             filepath = inputFile + "-sync"
 
         if compress is False:

tests/test_bad_eventlog.py

@@ -25,7 +25,9 @@ def test_multiple_context_ids(self):
 
     def test_missing_dbc_event(self):
         event_log = Path("tests", "logs", "bad", "missing-dbc-event.zip").resolve()
-        self.check_value_error(event_log, "No rollover properties found in log file")
+        self.check_value_error(
+            event_log, "Rollover logs were detected, but not all files had rollover properties"
+        )
 
     def test_duplicate_log_part(self):
         event_log = Path("tests", "logs", "bad", "duplicate-part.tgz").resolve()
@@ -39,6 +41,10 @@ def test_missing_first_part(self):
         event_log = Path("tests", "logs", "bad", "missing-first-part.zip").resolve()
         self.check_value_error(event_log, "Rollover log file appears to be missing")
 
+    def test_mixed_parsed(self):
+        event_log = Path("tests", "logs", "bad", "mixed_parsed.zip").resolve()
+        self.check_value_error(event_log, "A parsed log file was submitted with other log files")
+
     def test_only_non_first_part(self):
         with tempfile.TemporaryDirectory() as temp_dir:
             with ZipFile(Path("tests", "logs", "bad", "missing-first-part.zip")) as zfile:

tests/test_eventlog.py

@@ -11,54 +11,58 @@ def get_event(event_log_path):
 
     with tempfile.TemporaryDirectory() as temp_dir:
         event_log_paths = extractor.Extractor(event_log_path.resolve().as_uri(), temp_dir).extract()
-        event_log = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
+        event_log, parsed = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
 
         with open(event_log) as log_fobj:
             event = json.loads(log_fobj.readline())
 
-        return event
+        return event, parsed
 
 
 def test_simple_emr_log():
     event_log_path = Path("tests", "logs", "emr.zip").resolve()
-    event = get_event(event_log_path)
+    event, parsed = get_event(event_log_path)
 
     assert all(key in event for key in ["Event", "Spark Version"]), "Not all keys are present"
     assert event["Event"] == "SparkListenerLogStart", "First event is not as expected"
+    assert not parsed
 
 
 def test_simple_databricks_log():
     event_log_path = Path("tests", "logs", "databricks.zip").resolve()
-    event = get_event(event_log_path)
+    event, parsed = get_event(event_log_path)
+
     assert all(
         key in event
         for key in ["Event", "Spark Version", "Timestamp", "Rollover Number", "SparkContext Id"]
     ), "Not all keys are present"
+    assert not parsed
 
 
 def test_raw_databricks_log():
     event_log_path = Path("tests", "logs", "databricks.json").resolve()
-    event = get_event(event_log_path)
+    event, parsed = get_event(event_log_path)
 
     assert all(
         key in event
         for key in ["Event", "Spark Version", "Timestamp", "Rollover Number", "SparkContext Id"]
     ), "Not all keys are present"
 
     assert event["Event"] == "DBCEventLoggingListenerMetadata", "First event is not as expected"
-
+    assert not parsed
 
 
 def test_log_in_dir():
     event_log_path = Path("tests", "logs", "log_in_dir", "databricks.json.gz").resolve()
-    event = get_event(event_log_path)
+    event, parsed = get_event(event_log_path)
 
     assert all(
         key in event
         for key in ["Event", "Spark Version", "Timestamp", "Rollover Number", "SparkContext Id"]
     ), "Not all keys are present"
 
     assert event["Event"] == "DBCEventLoggingListenerMetadata", "First event is not as expected"
+    assert not parsed
 
 
 class RolloverLog(unittest.TestCase):
@@ -82,7 +86,7 @@ def validate_log(self, event_log_path: Path, log_file_total: int, log_entry_tota
             event_log_paths = extractor.Extractor(
                 event_log_path.resolve().as_uri(), temp_dir
             ).extract()
-            event_log = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
+            event_log, parsed = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
 
             with open(event_log) as log_fobj:
                 event = json.loads(log_fobj.readline())
@@ -109,3 +113,9 @@ def validate_log(self, event_log_path: Path, log_file_total: int, log_entry_tota
 
                 assert rollover_count == log_file_total, "Not all log parts are present"
                 assert i + 1 == log_entry_total, "Not all events are present"
+                assert not parsed
+
+
+if __name__ == "__main__":
+
+    test_simple_emr_log()

tests/test_eventlog_s3.py

@@ -66,13 +66,14 @@ def test_emr_log_from_s3(event_log_url, event_log_file_archive, event_log_s3_dir
 
     with tempfile.TemporaryDirectory() as temp_dir, stubber:
         event_log_paths = extractor.Extractor(event_log_url, temp_dir, s3).extract()
-        event_log = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
+        event_log, parsed = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
 
         with open(event_log) as log_fobj:
             event = json.loads(log_fobj.readline())
 
     assert all(key in event for key in ["Event", "Spark Version"]), "Not all keys are present"
     assert event["Event"] == "SparkListenerLogStart", "Expected first event is not present"
+    assert not parsed
 
 
 @pytest.mark.parametrize(
@@ -135,7 +136,7 @@ def test_databricks_log_from_s3_dir(event_log_url, event_log_file_archive, event
 
         with stubber:
             event_log_paths = extractor.Extractor(event_log_url, temp_dir, s3).extract()
-            event_log = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
+            event_log, _ = eventlog.EventLogBuilder(event_log_paths, temp_dir).build()
 
         stubber.assert_no_pending_responses()