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258 lines
11 KiB
Python
258 lines
11 KiB
Python
#!/usr/bin/env python3
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# SPDX-FileCopyrightText: 2023 Espressif Systems (Shanghai) CO LTD
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# SPDX-License-Identifier: Apache-2.0
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from typing import Dict, List
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from nvs_logger import NVS_Logger
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from nvs_parser import NVS_Entry, NVS_Partition, nvs_const
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def integrity_check(nvs_partition: NVS_Partition, nvs_log: NVS_Logger) -> None:
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used_namespaces: Dict[int, None] = {}
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found_namespaces: Dict[int, str] = {}
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blobs: Dict = {}
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blob_chunks: List[NVS_Entry] = []
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empty_entry = NVS_Entry(-1, bytearray(32), 'Erased')
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# Partition size check
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if len(nvs_partition.pages) < 3:
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nvs_log.info(
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nvs_log.yellow(
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'NVS Partition must contain 3 pages (sectors) at least to function properly!'
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)
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)
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# Free/empty page check
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if not any(page.header['status'] == 'Empty' for page in nvs_partition.pages):
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nvs_log.info(
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nvs_log.red(
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'''No free (empty) page found in the NVS partition,
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at least one free page is required for proper function!'''
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)
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)
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nvs_log.info(nvs_log.red('NVS partition possibly truncated?\n'))
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for page in nvs_partition.pages:
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# page: NVS_Page
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# Print page header
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if page.header['status'] == 'Empty':
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nvs_log.info(nvs_log.cyan('Page Empty'))
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# Check if page is truly empty
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if page.raw_entry_state_bitmap != bytearray({0xFF}) * nvs_const.entry_size:
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nvs_log.info(
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nvs_log.red(
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'The page is reported as Empty but its entry state bitmap is not empty!'
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)
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)
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if any([not e.is_empty for e in page.entries]):
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nvs_log.info(
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nvs_log.red('The page is reported as Empty but there are data written!')
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)
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else:
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# Check page header CRC32
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if page.header['crc']['original'] == page.header['crc']['computed']:
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nvs_log.info(
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nvs_log.cyan(f'Page no. {page.header["page_index"]}'), '\tCRC32: OK'
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)
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else:
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nvs_log.info(
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nvs_log.cyan(f'Page no. {page.header["page_index"]}'),
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f'Original CRC32:',
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nvs_log.red(f'{page.header["crc"]["original"]:x}'),
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f'Generated CRC32:',
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nvs_log.green(f'{page.header["crc"]["computed"]:x}'),
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)
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# Check all entries
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seen_written_entires: Dict[str, list[NVS_Entry]] = {}
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for entry in page.entries:
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# entry: NVS_Entry
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# Entries stored in 'page.entries' are primitive data types, blob indexes or string/blob data
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# Variable length values themselves occupy whole 32 bytes (therefore metadata values are meaningless)
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# and are stored in as entries inside string/blob data entry 'entry.children' list
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# Duplicate entry check (1) - same key, different index - find duplicates
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if entry.state == 'Written':
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if entry.key in seen_written_entires:
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seen_written_entires[entry.key].append(entry)
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else:
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seen_written_entires[entry.key] = [entry]
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# Entry state check - doesn't check variable length values (metadata such as state are meaningless as all 32 bytes are pure data)
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if entry.is_empty:
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if entry.state == 'Written':
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nvs_log.info(
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nvs_log.red(
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f' Entry #{entry.index:03d} is reported as Written but it is empty!'
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)
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)
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continue
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elif entry.state == 'Erased':
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nvs_log.info(
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nvs_log.yellow(
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f' Entry #{entry.index:03d} is reported as Erased but it is empty! (Only entries reported as Empty should be empty)'
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)
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)
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if entry.state == 'Written':
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# Entry CRC32 check
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if (
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entry.metadata['crc']['original']
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!= entry.metadata['crc']['computed']
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):
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nvs_log.info(
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nvs_log.red(
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f' Entry #{entry.index:03d} {entry.key} has wrong CRC32!{"": <5}'
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),
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f'Written:',
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nvs_log.red(f'{entry.metadata["crc"]["original"]:x}'),
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f'Generated:',
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nvs_log.green(f'{entry.metadata["crc"]["computed"]:x}'),
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)
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# Entry children CRC32 check
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if (
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entry.metadata['span'] > 1
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and (entry.metadata['crc']['data_original'] != entry.metadata['crc']['data_computed'])
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):
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nvs_log.info(
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nvs_log.red(
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f' Entry #{entry.index:03d} {entry.key} data (string, blob) has wrong CRC32!'
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),
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f'Written:',
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nvs_log.red(f'{entry.metadata["crc"]["data_original"]:x}'),
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f'Generated:',
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nvs_log.green(f'{entry.metadata["crc"]["data_computed"]:x}'),
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)
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# Entry type check
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if entry.metadata['type'] not in [
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nvs_const.item_type[key] for key in nvs_const.item_type
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]:
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nvs_log.info(
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nvs_log.yellow(
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f' Type of entry #{entry.index:03d} {entry.key} is unrecognized!'
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),
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f'Type: {entry.metadata["type"]}',
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)
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# Span check
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if (
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entry.index + entry.metadata['span'] - 1
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>= int(nvs_const.page_size / nvs_const.entry_size) - 2
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):
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nvs_log.info(
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nvs_log.red(
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f' Variable length entry #{entry.index:03d} {entry.key} is out of bounds!'
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)
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)
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# Spanned entry state checks
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elif entry.metadata['span'] > 1:
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parent_state = entry.state
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for kid in entry.children:
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if parent_state != kid.state:
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nvs_log.info(
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nvs_log.yellow(' Inconsistent data state!'),
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f'Entry #{entry.index:03d} {entry.key} state: {parent_state},',
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f'Data entry #{kid.index:03d} {entry.key} state: {kid.state}',
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)
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# Gather blobs & namespaces
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if entry.metadata['type'] == 'blob_index':
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blobs[f'{entry.metadata["namespace"]:03d}{entry.key}'] = [entry] + [
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empty_entry
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] * entry.data['chunk_count']
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elif entry.metadata['type'] == 'blob_data':
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blob_chunks.append(entry)
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if entry.metadata['namespace'] == 0:
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found_namespaces[entry.data['value']] = entry.key
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else:
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used_namespaces[entry.metadata['namespace']] = None
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# Duplicate entry check (2) - same key, different index - print duplicates
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duplicate_entries_list = [seen_written_entires[key] for key in seen_written_entires if len(seen_written_entires[key]) > 1]
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for duplicate_entries in duplicate_entries_list:
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# duplicate_entries: list[NVS_Entry]
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nvs_log.info(
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nvs_log.red(
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f'''Entry key {duplicate_entries[0].key} on page no. {page.header["page_index"]}
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with status {page.header["status"]} is used by the following entries:'''
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)
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)
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for entry in duplicate_entries:
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nvs_log.info(
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nvs_log.red(
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f'Entry #{entry.index:03d} {entry.key} is a duplicate!'
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)
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)
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nvs_log.info()
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# Blob checks
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# Assemble blobs
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for chunk in blob_chunks:
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parent = blobs.get(
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f'{chunk.metadata["namespace"]:03d}{chunk.key}', [empty_entry]
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)[0]
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# Blob chunk without blob index check
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if parent is empty_entry:
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nvs_log.info(
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nvs_log.red(f'Blob {chunk.key} chunk has no blob index!'),
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f'Namespace index: {chunk.metadata["namespace"]:03d}',
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f'[{found_namespaces.get(chunk.metadata["namespace"], "undefined")}],',
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f'Chunk Index: {chunk.metadata["chunk_index"]:03d}',
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)
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else:
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blob_key = f'{chunk.metadata["namespace"]:03d}{chunk.key}'
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chunk_index = chunk.metadata['chunk_index'] - parent.data['chunk_start']
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blobs[blob_key][chunk_index + 1] = chunk
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# Blob data check
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for blob_key in blobs:
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blob_index = blobs[blob_key][0]
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blob_chunks = blobs[blob_key][1:]
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blob_size = blob_index.data['size']
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for i, chunk in enumerate(blob_chunks):
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# Blob missing chunk check
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if chunk is empty_entry:
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nvs_log.info(
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nvs_log.red(f'Blob {blob_index.key} is missing a chunk!'),
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f'Namespace index: {blob_index.metadata["namespace"]:03d}',
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f'[{found_namespaces.get(blob_index.metadata["namespace"], "undefined")}],',
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f'Chunk Index: {i:03d}',
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)
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else:
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blob_size -= len(chunk.children) * nvs_const.entry_size
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# Blob missing data check
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if blob_size > 0:
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nvs_log.info(
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nvs_log.red(f'Blob {blob_index.key} is missing {blob_size} B of data!'),
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f'Namespace index: {blob_index.metadata["namespace"]:03d}',
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)
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# Namespace checks
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# Undefined namespace index check
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for used_ns in used_namespaces:
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key = found_namespaces.pop(used_ns, '')
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if key == '':
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nvs_log.info(
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nvs_log.red('Undefined namespace index!'),
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f'Namespace index: {used_ns:03d}',
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f'[undefined]',
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)
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# Unused namespace index check
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for unused_ns in found_namespaces:
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nvs_log.info(
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nvs_log.yellow('Found unused namespace.'),
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f'Namespace index: {unused_ns:03d}',
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f'[{found_namespaces[unused_ns]}]',
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)
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