There doesn't appear to be a widely known or dedicated parser for the adb shell dumpsys sensor_privacy output in the open-source community or standard Android tools. The output format you shared is structured but not standardized like JSON or XML, which makes parsing it programmatically a bit challenging.
However, you can create a custom parser to extract the relevant information from the dumpsys sensor_privacy output. The output seems to follow a semi-structured format with nested blocks (e.g., users, sensors, toggles), which can be parsed using regular expressions or a stateful parser (e.g., a recursive descent parser or a simple token-based approach).
Approach to Parse the Output
Here’s how you could approach parsing this output:
1. Tokenize the Output
Split the output into lines and process each line to extract key-value pairs or nested structures.
Example: user_id=0, sensor=1, toggle_type=1, etc.
2. Handle Nested Structures
The output contains nested blocks like users, sensors, and toggles. You can use indentation or braces ({, }) to identify the hierarchy.
Example:
users=[...] or users={...} indicates a list or object of users.
sensors=[...] or sensors={...} indicates a list or object of sensors.
3. Extract Key-Value Pairs
For each line, extract the key and value (e.g., user_id=0 → {"user_id": 0}).
Handle arrays (e.g., sensors=[...]) and objects (e.g., toggles={...}) separately.
4. Convert to Structured Data
Convert the extracted data into a structured format like JSON for easier manipulation.
Example Parser in Python
Here’s a Python script that parses the dumpsys sensor_privacy output into a structured dictionary. This is a basic implementation and may need adjustments for edge cases:
python
import re
def parse_sensor_privacy(output):
# Initialize the result dictionary
result = {
"storage_implementation": None,
"users": []
}
# Extract storage_implementation
storage_match = re.search(r'storage_implementation=(\S+)', output)
if storage_match:
result["storage_implementation"] = storage_match.group(1)
# Extract users block
users_block = re.search(r'users=(\[.*?\])', output, re.DOTALL)
if not users_block:
users_block = re.search(r'users=(\{.*?\})', output, re.DOTALL)
if users_block:
users_str = users_block.group(1)
# Parse users
users = []
# Split users by top-level braces or brackets
user_matches = re.finditer(r'(\{.*?\})|(\[.*?\])', users_str, re.DOTALL)
for match in user_matches:
user_block = match.group(0)
user = {}
# Extract user_id
user_id_match = re.search(r'user_id=(\d+)', user_block)
if user_id_match:
user["user_id"] = int(user_id_match.group(1))
# Extract sensors
sensors_block = re.search(r'sensors=(\[.*?\])', user_block, re.DOTALL)
if not sensors_block:
sensors_block = re.search(r'sensors=(\{.*?\})', user_block, re.DOTALL)
if sensors_block:
sensors_str = sensors_block.group(1)
sensors = []
# Split sensors by top-level braces or brackets
sensor_matches = re.finditer(r'(\{.*?\})', sensors_str, re.DOTALL)
for sensor_match in sensor_matches:
sensor_block = sensor_match.group(0)
sensor = {}
# Extract sensor id
sensor_id_match = re.search(r'sensor=(\d+)', sensor_block)
if sensor_id_match:
sensor["sensor"] = int(sensor_id_match.group(1))
# Extract toggles
toggles_block = re.search(r'toggles=(\{.*?\})', sensor_block, re.DOTALL)
if toggles_block:
toggles_str = toggles_block.group(1)
toggles = {}
# Extract toggle properties
toggle_matches = re.finditer(r'(\w+)=(\d+)', toggles_str)
for toggle_match in toggle_matches:
key = toggle_match.group(1)
value = int(toggle_match.group(2))
toggles[key] = value
sensor["toggles"] = toggles
sensors.append(sensor)
user["sensors"] = sensors
users.append(user)
result["users"] = users
return result
# Example usage
output1 = """
SENSOR PRIVACY MANAGER STATE (dumpsys sensor_privacy)
{
storage_implementation=com.android.server.sensorprivacy.SensorPrivacyStateControllerImpl
users={
user_id=0
sensors=[
{
sensor=1
toggles={
toggle_type=1
state_type=1
last_change=1009210
}
}
{
sensor=2
toggles={
toggle_type=1
state_type=1
last_change=1008837
}
}
]
}
}
"""
output2 = """
SENSOR PRIVACY MANAGER STATE (dumpsys sensor_privacy)
{
storage_implementation=com.android.server.sensorprivacy.SensorPrivacyStateControllerImpl
}
"""
output3 = """
SENSOR PRIVACY MANAGER STATE (dumpsys sensor_privacy)
{
storage_implementation=com.android.server.sensorprivacy.SensorPrivacyStateControllerImpl
users=[
{
user_id=0
sensors=[
{
sensor=1
toggles={
toggle_type=1
state_type=1
last_change=158522390
}
}
{
sensor=2
toggles={
toggle_type=1
state_type=1
last_change=129240020
}
}
]
}
{
user_id=10
sensors=[
{
sensor=1
toggles={
toggle_type=1
state_type=1
last_change=158522390
}
}
{
sensor=2
toggles={
toggle_type=1
state_type=1
last_change=129240020
}
}
]
}
]
}
"""
# Parse and print the results
print("Output 1:")
print(parse_sensor_privacy(output1))
print("\nOutput 2:")
print(parse_sensor_privacy(output2))
print("\nOutput 3:")
print(parse_sensor_privacy(output3))
Explanation of the Parser
Storage Implementation: Extracts the storage_implementation value using regex.
Users Block: Extracts the users block (either as an array [...] or object {...}).
User Parsing: For each user, extracts the user_id and the sensors block.
Sensors Parsing: For each sensor, extracts the sensor id and the toggles block.
Toggles Parsing: Extracts the toggle_type, state_type, and last_change values.
Output Structure
The parser converts the input into a structured dictionary like this: