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-# Copyright (c) 2022 Cisco and/or its affiliates.
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at:
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Module facilitating conversion from raw outputs into info outputs."""
-
-import copy
-import json
-import os
-
-import dateutil.parser
-
-from resources.libraries.python.Constants import Constants
-from resources.libraries.python.jumpavg.AvgStdevStats import AvgStdevStats
-
-
-def _raw_to_info_path(raw_path):
- """Compute path for info output corresponding to given raw output.
-
- :param raw_path: Local filesystem path to read raw JSON data from.
- :type raw_path: str
- :returns: Local filesystem path to write info JSON content to.
- :rtype: str
- :raises RuntimeError: If the input path does not meet all expectations.
- """
- raw_extension = u".raw.json"
- tmp_parts = raw_path.split(raw_extension)
- if len(tmp_parts) != 2 or tmp_parts[1] != u"":
- raise RuntimeError(f"Not good extension {raw_extension}: {raw_path}")
- info_path = tmp_parts[0] + u".info.json"
- return info_path
-
-
-def _process_test_name(data):
- """Replace raw test name with short and long test name and set test_type.
-
- Perform in-place edits on the data dictionary.
- Remove raw suite_name and test_name, they are not part of info schema.
- Return early if the data is not for test case.
- Inserttest ID and long and short test name into the data.
- Besides suite_name and test_name, also test tags are read.
-
- Short test name is basically a suite tag, but with NIC driver prefix,
- if the NIC driver used is not the default one (drv_vfio_pci for VPP tests).
-
- Long test name has the following form:
- {nic_short_name}-{frame_size}-{threads_and_cores}-{suite_part}
- Lookup in test tags is needed to get the threads value.
- The threads_and_cores part may be empty, e.g. for TRex tests.
-
- Test ID has form {suite_name}.{test_name} where the two names come from
- Robot variables, converted to lower case and spaces replaces by undescores.
-
- Test type is set in an internal function.
-
- :param data: Raw data, perhaps some fields converted into info data already.
- :type data: dict
- :raises RuntimeError: If the raw data does not contain expected values.
- """
- suite_part = data.pop(u"suite_name").lower().replace(u" ", u"_")
- if u"test_name" not in data:
- # There will be no test_id, provide suite_id instead.
- data[u"suite_id"] = suite_part
- return
- test_part = data.pop(u"test_name").lower().replace(u" ", u"_")
- data[u"test_id"] = f"{suite_part}.{test_part}"
- tags = data[u"tags"]
- # Test name does not contain thread count.
- subparts = test_part.split(u"c-", 1)
- if len(subparts) < 2 or subparts[0][-2:-1] != u"-":
- # Physical core count not detected, assume it is a TRex test.
- if u"--" not in test_part:
- raise RuntimeError(f"Cores not found for {subparts}")
- short_name = test_part.split(u"--", 1)[1]
- else:
- short_name = subparts[1]
- # Add threads to test_part.
- core_part = subparts[0][-1] + u"c"
- for tag in tags:
- tag = tag.lower()
- if len(tag) == 4 and core_part == tag[2:] and tag[1] == u"t":
- test_part = test_part.replace(f"-{core_part}-", f"-{tag}-")
- break
- else:
- raise RuntimeError(f"Threads not found for {test_part} tags {tags}")
- # For long name we need NIC model, which is only in suite name.
- last_suite_part = suite_part.split(u".")[-1]
- # Short name happens to be the suffix we want to ignore.
- prefix_part = last_suite_part.split(short_name)[0]
- # Also remove the trailing dash.
- prefix_part = prefix_part[:-1]
- # Throw away possible link prefix such as "1n1l-".
- nic_code = prefix_part.split(u"-", 1)[-1]
- nic_short = Constants.NIC_CODE_TO_SHORT_NAME[nic_code]
- long_name = f"{nic_short}-{test_part}"
- # Set test type.
- test_type = _detect_test_type(data)
- data[u"test_type"] = test_type
- # Remove trailing test type from names (if present).
- short_name = short_name.split(f"-{test_type}")[0]
- long_name = long_name.split(f"-{test_type}")[0]
- # Store names.
- data[u"test_name_short"] = short_name
- data[u"test_name_long"] = long_name
-
-
-def _detect_test_type(data):
- """Return test_type, as inferred from robot test tags.
-
- :param data: Raw data, perhaps some fields converted into info data already.
- :type data: dict
- :returns: The inferred test type value.
- :rtype: str
- :raises RuntimeError: If the test tags does not contain expected values.
- """
- tags = data[u"tags"]
- # First 5 options are specific for VPP tests.
- if u"DEVICETEST" in tags:
- test_type = u"device"
- elif u"LDP_NGINX" in tags:
- test_type = u"vsap"
- elif u"HOSTSTACK" in tags:
- test_type = u"hoststack"
- elif u"GSO_TRUE" in tags or u"GSO_FALSE" in tags:
- test_type = u"gso"
- elif u"RECONF" in tags:
- test_type = u"reconf"
- # The remaining 3 options could also apply to DPDK and TRex tests.
- elif u"SOAK" in tags:
- test_type = u"soak"
- elif u"NDRPDR" in tags:
- test_type = u"ndrpdr"
- elif u"MRR" in tags:
- test_type = u"mrr"
- else:
- raise RuntimeError(f"Unable to infer test type from tags: {tags}")
- return test_type
-
-
-def _convert_to_info_in_memory(data):
- """Perform all changes needed for processing of data, return new data.
-
- Data is assumed to be valid for raw schema, so no exceptions are expected.
- The original argument object is not edited,
- a new copy is created for edits and returned,
- because there is no easy way to sort keys in-place.
-
- :param data: The whole composite object to filter and enhance.
- :type data: dict
- :returns: New object with the edited content.
- :rtype: dict
- """
- data = copy.deepcopy(data)
-
- # Drop any SSH log items.
- data[u"log"] = list()
-
- # Duration is computed for every file.
- start_float = dateutil.parser.parse(data[u"start_time"]).timestamp()
- end_float = dateutil.parser.parse(data[u"end_time"]).timestamp()
- data[u"duration"] = end_float - start_float
-
- # Reorder impotant fields to the top.
- sorted_data = dict(version=data.pop(u"version"))
- sorted_data[u"duration"] = data.pop(u"duration")
- sorted_data[u"start_time"] = data.pop(u"start_time")
- sorted_data[u"end_time"] = data.pop(u"end_time")
- sorted_data.update(data)
- data = sorted_data
- # TODO: Do we care about the order of subsequently added fields?
-
- # Convert status into a boolean.
- status = data.pop(u"status", None)
- if status is not None:
- data[u"passed"] = (status == u"PASS")
- if data[u"passed"]:
- # Also truncate success test messages.
- data[u"message"] = u""
-
- # Replace raw names with processed ones, set test_id and test_type.
- _process_test_name(data)
-
- # The rest is only relevant for test case outputs.
- if u"result" not in data:
- return data
- result_node = data[u"result"]
- result_type = result_node[u"type"]
- if result_type == u"unknown":
- # Device or something else not supported.
- return data
-
- # More processing depending on result type. TODO: Separate functions?
-
- # Compute avg and stdev for mrr.
- if result_type == u"mrr":
- rate_node = result_node[u"receive_rate"][u"rate"]
- stats = AvgStdevStats.for_runs(rate_node[u"values"])
- rate_node[u"avg"] = stats.avg
- rate_node[u"stdev"] = stats.stdev
-
- # Multiple processing steps for ndrpdr.
- if result_type != u"ndrpdr":
- return data
- # Filter out invalid latencies.
- for which_key in (u"latency_forward", u"latency_reverse"):
- if which_key not in result_node:
- # Probably just an unidir test.
- continue
- for load in (u"pdr_0", u"pdr_10", u"pdr_50", u"pdr_90"):
- if result_node[which_key][load][u"max"] <= 0:
- # One invalid number is enough to remove all loads.
- break
- else:
- # No break means all numbers are ok, nothing to do here.
- continue
- # Break happened, something is invalid, remove all loads.
- result_node.pop(which_key)
-
- return data
-
-
-def _merge_into_suite_info_file(teardown_info_path):
- """Move setup and teardown data into a singe file, remove old files.
-
- The caller has to confirm the argument is correct, e.g. ending in
- "/teardown.info.json".
-
- :param teardown_info_path: Local filesystem path to teardown info file.
- :type teardown_info_path: str
- :returns: Local filesystem path to newly created suite info file.
- :rtype: str
- """
- # Manual right replace: https://stackoverflow.com/a/9943875
- setup_info_path = u"setup".join(teardown_info_path.rsplit(u"teardown", 1))
- with open(teardown_info_path, u"rt", encoding="utf-8") as file_in:
- teardown_data = json.load(file_in)
- # Transforming setup data into suite data.
- with open(setup_info_path, u"rt", encoding="utf-8") as file_in:
- suite_data = json.load(file_in)
-
- end_time = teardown_data[u"end_time"]
- suite_data[u"end_time"] = end_time
- start_float = dateutil.parser.parse(suite_data[u"start_time"]).timestamp()
- end_float = dateutil.parser.parse(suite_data[u"end_time"]).timestamp()
- suite_data[u"duration"] = end_float - start_float
- setup_log = suite_data.pop(u"log")
- suite_data[u"setup_log"] = setup_log
- suite_data[u"teardown_log"] = teardown_data[u"log"]
-
- suite_info_path = u"suite".join(teardown_info_path.rsplit(u"teardown", 1))
- with open(suite_info_path, u"wt", encoding="utf-8") as file_out:
- json.dump(suite_data, file_out, indent=1)
- # We moved everything useful from temporary setup/teardown info files.
- os.remove(setup_info_path)
- os.remove(teardown_info_path)
-
- return suite_info_path
-
-
-def convert_content_to_info(from_raw_path):
- """Read raw output, perform filtering, add derivatves, write info output.
-
- Directory path is created if missing.
-
- When processing teardown, create also suite output using setup info.
-
- :param from_raw_path: Local filesystem path to read raw JSON data from.
- :type from_raw_path: str
- :returns: Local filesystem path to written info JSON file.
- :rtype: str
- :raises RuntimeError: If path or content do not match expectations.
- """
- to_info_path = _raw_to_info_path(from_raw_path)
- with open(from_raw_path, u"rt", encoding="utf-8") as file_in:
- data = json.load(file_in)
-
- data = _convert_to_info_in_memory(data)
-
- with open(to_info_path, u"wt", encoding="utf-8") as file_out:
- json.dump(data, file_out, indent=1)
- if to_info_path.endswith(u"/teardown.info.json"):
- to_info_path = _merge_into_suite_info_file(to_info_path)
- # TODO: Return both paths for validation?
-
- return to_info_path