| #!/usr/bin/env python3 |
| |
| r""" |
| PEL functions. |
| """ |
| |
| import func_args as fa |
| import bmc_ssh_utils as bsu |
| import json |
| import os |
| import sys |
| from robot.libraries.BuiltIn import BuiltIn |
| |
| base_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) |
| sys.path.append(base_path + "/data/") |
| |
| import pel_variables |
| |
| |
| class peltool_exception(Exception): |
| r""" |
| Base class for peltool related exceptions. |
| """ |
| |
| def __init__(self, message): |
| self.message = message |
| super().__init__(self.message) |
| |
| |
| def peltool(option_string, parse_json=True, **bsu_options): |
| r""" |
| Run peltool on the BMC with the caller's option string and return the result. |
| |
| Example: |
| |
| ${pel_results}= Peltool -l |
| Rprint Vars pel_results |
| |
| pel_results: |
| [0x50000031]: |
| [CompID]: 0x1000 |
| [PLID]: 0x50000031 |
| [Subsystem]: BMC Firmware |
| [Message]: An application had an internal failure |
| [SRC]: BD8D1002 |
| [Commit Time]: 02/25/2020 04:51:31 |
| [Sev]: Unrecoverable Error |
| [CreatorID]: BMC |
| |
| Description of argument(s): |
| option_string A string of options which are to be processed by the peltool command. |
| parse_json Indicates that the raw JSON data should parsed into a list of |
| dictionaries. |
| bsu_options Options to be passed directly to bmc_execute_command. See its prolog for |
| details. |
| """ |
| |
| bsu_options = fa.args_to_objects(bsu_options) |
| out_buf, stderr, rc = bsu.bmc_execute_command('peltool ' + option_string, **bsu_options) |
| if parse_json: |
| try: |
| return json.loads(out_buf) |
| except ValueError: |
| return {} |
| return out_buf |
| |
| |
| def fetch_all_pel_ids_for_src(src_id, severity): |
| r""" |
| Fetch all PEL IDs for the input SRC ID based on the severity type |
| in the list format. |
| |
| Description of arguments: |
| src_id SRC ID (e.g. BC20E504). |
| severity PEL severity (e.g. "Predictive Error" |
| "Recovered Error"). |
| """ |
| |
| try: |
| src_pel_ids = [] |
| pel_data = peltool(" -l") |
| pel_id_list = pel_data.keys() |
| for pel_id in pel_id_list: |
| # Check if required SRC ID with severity is present |
| if ((pel_data[pel_id]["SRC"] == src_id) and (pel_data[pel_id]["Sev"] == severity)): |
| src_pel_ids.append(pel_id) |
| |
| if not src_pel_ids: |
| raise peltool_exception(src_id + " with severity " + severity + " not present") |
| except Exception as e: |
| raise peltool_exception("Failed to fetch PEL ID for required SRC : " + str(e)) |
| return src_pel_ids |
| |
| |
| def verify_src_signature_and_threshold(pel_id, attn_type, signature_desc, th_limit): |
| r""" |
| Verifies SRC details for the given PEL ID based on the required |
| attention type, signature description, threshold limits. |
| |
| Description of arguments: |
| pel_id PEL ID for the required SRC details to verify. |
| attn_type Attention type (e.g. RE, CS, UNIT_CS). |
| signature_desc Signature description of the error inject. |
| th_limit Threshold limit (e.g. 1, 5, 32). |
| """ |
| |
| try: |
| pel_cmd = " -i " + pel_id |
| src_data = peltool(pel_cmd) |
| src_dict = src_data["Primary SRC"]["SRC Details"] |
| usr_data = src_data["User Data 1"] |
| |
| # Example for signature in recoverable error |
| # |
| # "SRC Details": { |
| # "Attention Type": "RECOVERABLE", |
| # "Node": 0, |
| # "Target Type": "TYPE_OMIC", |
| # "Target Instance": 0, |
| # "Signature": "MC_OMI_DL_FIR[1]: OMI-DL0 UE on data flit" |
| # } |
| if (attn_type == "RE"): |
| if (src_dict["Attention Type"] != "RECOVERABLE"): |
| raise peltool_exception("Required Attention type " + attn_type + " not found") |
| |
| # Example for signature in system checkstop error |
| # |
| # "SRC Details": { |
| # "Primary Attention": "system checkstop", |
| # "Signature Description": { |
| # "Chip Desc": "node 0 proc 0 (P10 2.0)", |
| # "Signature": "EQ_L2_FIR(0)[7] L2 directory read UE", |
| # "Attn Type": "checkstop" |
| # } |
| |
| elif (attn_type == "CS"): |
| if (src_dict["Primary Attention"] != "system checkstop"): |
| raise peltool_exception("Required Attention type " + attn_type + " not found") |
| |
| elif (attn_type == "UNIT_CS"): |
| if (src_dict["Attention Type"] != "UNIT_CS"): |
| raise peltool_exception("Required Attention type " + attn_type + " not found") |
| else: |
| raise peltool_exception("Required Attention type " + attn_type + " not found") |
| |
| if signature_desc not in src_dict["Signature"]: |
| raise peltool_exception("Required Signature " + signature_desc + " not found") |
| |
| if (int(th_limit) != usr_data["Error Count"]): |
| raise peltool_exception("Required Threshold limit " + th_limit + " not found") |
| |
| except Exception as e: |
| raise peltool_exception("Failed to verify SRC details : " + str(e)) |
| return True |
| |
| |
| def fetch_all_src(): |
| r""" |
| Fetch all SRC IDs from peltool in the list format. |
| """ |
| try: |
| src_id = [] |
| pel_data = peltool(" -l") |
| if pel_data: |
| pel_id_list = pel_data.keys() |
| for pel_id in pel_id_list: |
| src_id.append(pel_data[pel_id]["SRC"]) |
| else: |
| raise peltool_exception("No PEL entry found ..") |
| except Exception as e: |
| raise peltool_exception("Failed to fetch all SRCs : " + str(e)) |
| return src_id |