diff --git a/src/agora/io/metadata.py b/src/agora/io/metadata.py
index d59ac4066c2e195c0314bad0d7bec75af7db6b20..a84765a6e8fe376bcb673521ab5b332f8eaf5e85 100644
--- a/src/agora/io/metadata.py
+++ b/src/agora/io/metadata.py
@@ -148,9 +148,9 @@ def parse_logfiles(
return parsed_flattened
-def get_meta_swainlab(parsed_metadata: dict):
+def get_channels_swainlab(parsed_metadata: dict):
"""
- Convert raw parsing of Swainlab logfile to the metadata interface.
+ Extract channels from parsed metadata.
Parameters
--------
@@ -180,7 +180,7 @@ def parse_swainlab_metadata(filedir: t.Union[str, Path]):
if filepath:
# new log files ending in .log
raw_parse = parse_from_swainlab_grammar(filepath)
- minimal_meta = get_meta_swainlab(raw_parse)
+ minimal_meta = get_channels_swainlab(raw_parse)
else:
# old log files ending in .txt
if filedir.is_file() or str(filedir).endswith(".zarr"):
diff --git a/src/aliby/baby_client.py b/src/aliby/baby_client.py
index a94fe6ffeb118a351b07a529c0b25674cde66e31..cfb7bcf5cbd4877e59c9bbbe5bec71989d253fb0 100644
--- a/src/aliby/baby_client.py
+++ b/src/aliby/baby_client.py
@@ -177,7 +177,7 @@ class BabyRunner(StepABC):
def choose_model_from_params(
modelset_filter=None,
- camera="sCMOS",
+ camera="prime95b",
channel="brightfield",
zoom="60x",
n_stacks="5z",
diff --git a/src/aliby/baby_sitter.py b/src/aliby/baby_sitter.py
index 2bd930ba91fd3685157ff2a1841a73b6afa376dd..2b56c6fa44756542fe9c8191e4ed17c404370ab7 100644
--- a/src/aliby/baby_sitter.py
+++ b/src/aliby/baby_sitter.py
@@ -33,7 +33,7 @@ class BabyParameters(ParametersABC):
"""Define default parameters; kwargs choose BABY model set."""
return cls(
modelset_name=get_modelset_name_from_params(**kwargs),
- clogging_thresh=0.75,
+ clogging_thresh=1,
min_bud_tps=3,
isbud_thresh=0.5,
session=None,
diff --git a/src/aliby/pipeline.py b/src/aliby/pipeline.py
index 46b786c7eaad1ae65b2aee4c2116080e2d9fd196..5eb5e548b454abe8521e2be33ac5914b038b72c4 100644
--- a/src/aliby/pipeline.py
+++ b/src/aliby/pipeline.py
@@ -15,6 +15,7 @@ from pathos.multiprocessing import Pool
from tqdm import tqdm
import baby
+import baby.errors
try:
if baby.__version__ == "v0.30.1":
@@ -170,11 +171,6 @@ class PipelineParameters(ParametersABC):
).to_dict()
return cls(**{k: v for k, v in defaults.items()})
- def load_logs(self):
- """Load and parse log files."""
- parsed_flattened = parse_logfiles(self.log_dir)
- return parsed_flattened
-
class Pipeline(ProcessABC):
"""
@@ -456,14 +452,14 @@ class Pipeline(ProcessABC):
tiler=pipe["steps"]["tiler"],
)
# initiate progress bar
- pbar = tqdm(
+ progress_bar = tqdm(
range(min_process_from, pipe["tps"]),
desc=image.name,
initial=min_process_from,
total=pipe["tps"],
)
# run through time points
- for i in pbar:
+ for i in progress_bar:
if (
frac_clogged_traps
< pipe["earlystop"]["thresh_pos_clogged"]
@@ -473,9 +469,14 @@ class Pipeline(ProcessABC):
for step in self.pipeline_steps:
if i >= pipe["process_from"][step]:
# perform step
- result = pipe["steps"][step].run_tp(
- i, **run_kwargs.get(step, {})
- )
+ try:
+ result = pipe["steps"][step].run_tp(
+ i, **run_kwargs.get(step, {})
+ )
+ except baby.errors.Clogging:
+ logging.getLogger("aliby").warn(
+ "WARNING:Clogging threshold exceeded in BABY."
+ )
# write result to h5 file using writers
# extractor writes to h5 itself
if step in loaded_writers:
@@ -521,7 +522,7 @@ class Pipeline(ProcessABC):
f"{name}:Clogged_traps:{frac_clogged_traps}"
)
frac = np.round(frac_clogged_traps * 100)
- pbar.set_postfix_str(f"{frac} Clogged")
+ progress_bar.set_postfix_str(f"{frac} Clogged")
else:
# stop if too many traps are clogged
self._log(
diff --git a/src/aliby/utils/imageViewer.py b/src/aliby/utils/imageViewer.py
index bcb54242f0f304192a8db6d94bdfa128591eb327..fd529108dd9091b7ec19041ccc8cf2d265af2fa9 100644
--- a/src/aliby/utils/imageViewer.py
+++ b/src/aliby/utils/imageViewer.py
@@ -4,7 +4,7 @@ ImageViewer class, used to look at individual or multiple traps over time.
Example of usage:
-fpath = "/home/alan/Documents/dev/skeletons/scripts/data/16543_2019_07_16_aggregates_CTP_switch_2_0glu_0_0glu_URA7young_URA8young_URA8old_01/URA8_young018.h5"
+fpath = "/home/alan/data/16543/URA8_young018.h5"
tile_id = 9
trange = list(range(0, 10))
diff --git a/src/logfile_parser/swainlab_parser.py b/src/logfile_parser/swainlab_parser.py
index 49d04690b69b6e38117511d963629dcb16674179..f9d2a3b846c9703441711f72472b27c565e3190d 100644
--- a/src/logfile_parser/swainlab_parser.py
+++ b/src/logfile_parser/swainlab_parser.py
@@ -53,17 +53,58 @@ from pyparsing import (
atomic = t.Union[str, int, float, bool]
+# specify grammar for the Swain lab
+sl_grammar = {
+ "general": {
+ "start_trigger": Literal("Swain Lab microscope experiment log file"),
+ "data_type": "fields",
+ "end_trigger": "-----Acquisition settings-----",
+ },
+ "image_config": {
+ "start_trigger": "Image Configs:",
+ "data_type": "table",
+ },
+ "device_properties": {
+ "start_trigger": "Device properties:",
+ "data_type": "table",
+ },
+ "group": {
+ "position": {
+ "start_trigger": Group(
+ Group(Literal("group:") + Word(printables))
+ + Group(Literal("field:") + "position")
+ ),
+ "data_type": "table",
+ },
+ **{
+ key: {
+ "start_trigger": Group(
+ Group(Literal("group:") + Word(printables))
+ + Group(Literal("field:") + key)
+ ),
+ "data_type": "fields",
+ }
+ for key in ("time", "config")
+ },
+ },
+}
+
+ACQ_START = "-----Acquisition settings-----"
+HEADER_END = "-----Experiment started-----"
+MAX_NLINES = 2000 # In case of malformed logfile
+
+ParserElement.setDefaultWhitespaceChars(" \t")
+
class HeaderEndNotFound(Exception):
def __init__(self, message, errors):
super().__init__(message)
-
self.errors = errors
def extract_header(filepath: Path):
- # header_contents = ""
- with open(filepath, "r") as f:
+ """Extract content of log file before the experiment starts."""
+ with open(filepath, "r", errors="ignore") as f:
try:
header = ""
for _ in range(MAX_NLINES):
@@ -72,16 +113,50 @@ def extract_header(filepath: Path):
if HEADER_END in line:
break
except HeaderEndNotFound as e:
- print(f"{MAX_NLINES} checked and no header found")
+ print(f"{MAX_NLINES} checked and no header found.")
raise (e)
return header
+def parse_from_swainlab_grammar(filepath: t.Union[str, Path]):
+ """Parse using a grammar for the Swain lab."""
+ return parse_from_grammar(filepath, sl_grammar)
+
+
+def parse_from_grammar(filepath: str, grammar: t.Dict):
+ """Parse a file using the specified grammar."""
+ header = extract_header(filepath)
+ d = {}
+ for key, values in grammar.items():
+ try:
+ if "data_type" in values:
+ # data_type for parse_x defined in values
+ d[key] = parse_x(header, **values)
+ else:
+ # use sub keys to parse groups
+ for subkey, subvalues in values.items():
+ subkey = "_".join((key, subkey))
+ d[subkey] = parse_x(header, **subvalues)
+ except Exception as e:
+ logging.getLogger("aliby").critical(
+ f"Parsing failed for key {key} and values {values}."
+ )
+ raise (e)
+ return d
+
+
+def parse_x(string, data_type, **kwargs):
+ """Parse a string for data of a specified type."""
+ res_dict = eval(f"parse_{data_type}(string, **kwargs)")
+ return res_dict
+
+
def parse_table(
string: str,
start_trigger: t.Union[str, Keyword],
) -> pd.DataFrame:
- """Parse csv-like table
+ """
+ Parse csv-like table.
Parameters
----------
@@ -98,12 +173,9 @@ def parse_table(
Examples
--------
>>> table = parse_table()
-
"""
-
if isinstance(start_trigger, str):
start_trigger: Keyword = Keyword(start_trigger)
-
EOL = LineEnd().suppress()
field = OneOrMore(CharsNotIn(":,\n"))
line = LineStart() + Group(
@@ -116,11 +188,9 @@ def parse_table(
+ EOL # end_trigger.suppress()
)
parser_result = parser.search_string(string)
-
assert all(
[len(row) == len(parser_result[0]) for row in parser_result]
), f"Table {start_trigger} has unequal number of columns"
-
assert len(parser_result), f"Parsing is empty. {parser}"
return table_to_df(parser_result.as_list())
@@ -139,16 +209,12 @@ def parse_fields(
start: 0
interval: 300
frames: 180
-
-
"""
EOL = LineEnd().suppress()
-
if end_trigger is None:
end_trigger = EOL
elif isinstance(end_trigger, str):
end_trigger = Literal(end_trigger)
-
field = OneOrMore(CharsNotIn(":\n"))
line = (
LineStart()
@@ -164,79 +230,6 @@ def parse_fields(
return fields_to_dict_or_table(results)
-# Grammar specification
-grammar = {
- "general": {
- "start_trigger": Literal("Swain Lab microscope experiment log file"),
- "type": "fields",
- "end_trigger": "-----Acquisition settings-----",
- },
- "image_config": {
- "start_trigger": "Image Configs:",
- "type": "table",
- },
- "device_properties": {
- "start_trigger": "Device properties:",
- "type": "table",
- },
- "group": {
- "position": {
- "start_trigger": Group(
- Group(Literal("group:") + Word(printables))
- + Group(Literal("field:") + "position")
- ),
- "type": "table",
- },
- **{
- key: {
- "start_trigger": Group(
- Group(Literal("group:") + Word(printables))
- + Group(Literal("field:") + key)
- ),
- "type": "fields",
- }
- for key in ("time", "config")
- },
- },
-}
-
-
-ACQ_START = "-----Acquisition settings-----"
-HEADER_END = "-----Experiment started-----"
-MAX_NLINES = 2000 # In case of malformed logfile
-# test_file = "/home/alan/Downloads/pH_med_to_low.log"
-# test_file = "/home/alan/Documents/dev/skeletons/scripts/dev/C1_60x.log"
-
-ParserElement.setDefaultWhitespaceChars(" \t")
-
-
-# time_fields = parse_field(acq, start_trigger=grammar["group"]["time"]["start_trigger"])
-# config_fields = parse_fields(
-# acq, start_trigger=grammar["group"]["config"]["start_trigger"]
-# )
-
-# general_fields = parse_fields(basic, start_trigger=grammar["general"]["start_trigger"])
-
-
-def parse_from_grammar(filepath: str, grammar: t.Dict):
- header = extract_header(filepath)
- d = {}
- for key, values in grammar.items():
- try:
- if "type" in values:
- d[key] = parse_x(header, **values)
- else: # Use subkeys to parse groups
- for subkey, subvalues in values.items():
- subkey = "_".join((key, subkey))
- d[subkey] = parse_x(header, **subvalues)
- except Exception as e:
- logging.getLogger("aliby").critical(
- f"Parsing failed for key {key} and values {values}"
- )
- raise (e)
- return d
-
-
def table_to_df(result: t.List[t.List]):
if len(result) > 1: # Multiple tables with ids to append
# Generate multiindex from "Name column"
@@ -292,12 +285,3 @@ def _cast_type(x: str) -> t.Union[str, int, float, bool]:
except:
pass
return x
-
-
-def parse_x(string: str, type: str, **kwargs):
- # return eval(f"parse_{type}({string}, **{kwargs})")
- return eval(f"parse_{type}(string, **kwargs)")
-
-
-def parse_from_swainlab_grammar(filepath: t.Union[str, Path]):
- return parse_from_grammar(filepath, grammar)