import json
import os
from datetime import date
from pathlib import Path

from tabulate import DataRow, TableFormat, tabulate


lowerCamelCase_    :		Dict							=	TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("""""", """|""", """|"""),
    datarow=DataRow("""""", """|""", """|"""),
    padding=1,
    with_header_hide=None,
)


lowerCamelCase_    :		List[str]							=	[]
lowerCamelCase_    :		str							=	[]

lowerCamelCase_    :		Optional[Any]							=	{"""type""": """section""", """text""": {"""type""": """plain_text""", """text""": """No failed tests! 🤗""", """emoji""": True}}

lowerCamelCase_    :		Union[str, Any]							=	[
    {
        """type""": """header""",
        """text""": {
            """type""": """plain_text""",
            """text""": F'''🤗 Accelerate nightly {os.environ.get('TEST_TYPE', '')} test results''',
            """emoji""": True,
        },
    }
]

lowerCamelCase_    :		Tuple							=	0
for log in Path().glob("""*.log"""):
	lowerCamelCase_    :		Optional[int]							=	0
	with open(log, """r""") as f:
		for line in f:
			lowerCamelCase_    :		Tuple							=	json.loads(line)
			if line.get("""nodeid""", """""") != "":
				lowerCamelCase_    :		int							=	line["""nodeid"""]
				if line.get("""duration""", None) is not None:
					lowerCamelCase_    :		str							=	F'''{line['duration']:.4f}'''
					if line.get("""outcome""", """""") == "failed":
						section_num_failed += 1
						failed.append([test, duration, log.name.split("""_""")[0]])
						total_num_failed += 1
	group_info.append([str(log), section_num_failed, failed])
	lowerCamelCase_    :		Any							=	[]
	log.unlink()

lowerCamelCase_    :		Optional[Any]							=	""""""
lowerCamelCase_    :		Union[str, Any]							=	[]
if total_num_failed > 0:
	for name, num_failed, failed_tests in group_info:
		if num_failed > 0:
			if num_failed == 1:
				message += F"*{name[1:]}: {num_failed} failed test*\n"
			else:
				message += F"*{name[1:]}: {num_failed} failed tests*\n"
			lowerCamelCase_    :		str							=	[]
			lowerCamelCase_    :		int							=	{}
			for test in failed_tests:
				lowerCamelCase_    :		Optional[int]							=	test[0].split("""::""")
				lowerCamelCase_    :		str							=	data[0].split("""/""")[-1]
				if data[0] not in filesafailed:
					lowerCamelCase_    :		str							=	[data[1:]]
				else:
					filesafailed[data[0]] += [data[1:]]
				failed_table.append(data)

			lowerCamelCase_    :		List[Any]							=	[test[0] for test in failed_table]
			lowerCamelCase_    :		int							=	list(set(files))
			# Count number of instances in failed_tests
			lowerCamelCase_    :		List[str]							=	[]
			for file in individual_files:
				table.append([file, len(filesafailed[file])])

			lowerCamelCase_    :		Any							=	tabulate(
			    table,
			    headers=["""Test Location""", """Num Failed"""],
			    tablefmt=hf_table_format,
			    stralign="""right""",
			)
			message += F"\n```\n{failed_table}\n```"
			all_filesafailed.append(filesafailed)
	if len(message) > 3_000:
		lowerCamelCase_    :		int							=	"""Too many failed tests, please see the full report in the Action results."""
		lowerCamelCase_    :		int							=	len(err) + 10
		lowerCamelCase_    :		Union[str, Any]							=	message[: 3_000 - offset] + F'''\n...\n```\n{err}'''
	print(F'''### {message}''')
else:
	lowerCamelCase_    :		List[str]							=	"""No failed tests! 🤗"""
	print(F'''## {message}''')
	payload.append(no_error_payload)

if os.environ.get("""TEST_TYPE""", """""") != "":
	from slack_sdk import WebClient

	lowerCamelCase_    :		List[Any]							=	WebClient(token=os.environ["""SLACK_API_TOKEN"""])
	if message != "No failed tests! 🤗":
		lowerCamelCase_    :		int							=	{
		    """type""": """section""",
		    """text""": {
		        """type""": """mrkdwn""",
		        """text""": message,
		    },
		}
		payload.append(md_report)
		lowerCamelCase_    :		int							=	{
		    """type""": """section""",
		    """text""": {
		        """type""": """mrkdwn""",
		        """text""": """*For more details:*""",
		    },
		    """accessory""": {
		        """type""": """button""",
		        """text""": {
		            """type""": """plain_text""",
		            """text""": """Check Action results""",
		            """emoji""": True,
		        },
		        """url""": F'''https://github.com/{os.environ['GITHUB_REPOSITORY']}/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
		    },
		}
		payload.append(action_button)
		lowerCamelCase_    :		List[Any]							=	{
		    """type""": """context""",
		    """elements""": [
		        {
		            """type""": """plain_text""",
		            """text""": F'''Nightly {os.environ.get('TEST_TYPE')} test results for {date.today()}''',
		        }
		    ],
		}
		payload.append(date_report)
	lowerCamelCase_    :		int							=	client.chat_postMessage(channel="""#accelerate-ci-daily""", text=message, blocks=payload)
	lowerCamelCase_    :		int							=	response.data["""ts"""]
	for failed_file in all_filesafailed:
		for test_location, test_failures in failed_file.items():
			# Keep only the first instance of the test name
			lowerCamelCase_    :		int							=	""""""
			for i, row in enumerate(test_failures):
				if row[0] != test_class:
					lowerCamelCase_    :		List[str]							=	row[0]
				else:
					lowerCamelCase_    :		Optional[Any]							=	""""""

			lowerCamelCase_    :		int							=	{
			    """type""": """section""",
			    """text""": {
			        """type""": """mrkdwn""",
			        """text""": F'''Test location: {test_location}\n```\n{tabulate(test_failures, headers=['Class', 'Test'], tablefmt=hf_table_format, stralign='right')}\n```''',
			    },
			}

			client.chat_postMessage(
			    channel="""#accelerate-ci-daily""",
			    thread_ts=ts,
			    blocks=[payload],
			)





from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels




